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You searched for subject:(Plume detection AND monitoring algorithm). Showing records 1 – 30 of 450 total matches.

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University of Georgia

1. Chen, Jianxia. Towards advanced event monitoring services on decentralized and delay tolerant networks.

Degree: PhD, Computer Science, 2011, University of Georgia

 Event monitoring services are rapidly gaining importance in many application domains ranging from real time monitoring systems in production, logistics and networking to complex event… (more)

Subjects/Keywords: Event Monitoring; Event Aggregation; Redundancy Elimination; Complex Event Detection; Delay Tolerant Network; Heuristic Algorithm

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APA (6th Edition):

Chen, J. (2011). Towards advanced event monitoring services on decentralized and delay tolerant networks. (Doctoral Dissertation). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/chen_jianxia_201108_phd

Chicago Manual of Style (16th Edition):

Chen, Jianxia. “Towards advanced event monitoring services on decentralized and delay tolerant networks.” 2011. Doctoral Dissertation, University of Georgia. Accessed July 23, 2019. http://purl.galileo.usg.edu/uga_etd/chen_jianxia_201108_phd.

MLA Handbook (7th Edition):

Chen, Jianxia. “Towards advanced event monitoring services on decentralized and delay tolerant networks.” 2011. Web. 23 Jul 2019.

Vancouver:

Chen J. Towards advanced event monitoring services on decentralized and delay tolerant networks. [Internet] [Doctoral dissertation]. University of Georgia; 2011. [cited 2019 Jul 23]. Available from: http://purl.galileo.usg.edu/uga_etd/chen_jianxia_201108_phd.

Council of Science Editors:

Chen J. Towards advanced event monitoring services on decentralized and delay tolerant networks. [Doctoral Dissertation]. University of Georgia; 2011. Available from: http://purl.galileo.usg.edu/uga_etd/chen_jianxia_201108_phd

2. Χρυσουλάκης, Νεκτάριος. Ανάπτυξη πρότυπου αλγόριθμου για την ανίχνευση και παρακολούθηση μετώπων φωτιάς και λοφίων που προκαλούνται από βιομηχανικά ατυχήματα με χρήση δορυφορικής τηλεπισκόπησης.

Degree: 2000, National and Kapodistrian University of Athens; Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών (ΕΚΠΑ)

Subjects/Keywords: Βιομηχανικά ατυχήματα; Επεξεργασία δορυφορικών εικόνων; Ανάλυση δορυφορικών εικόνων; Φασματικό κανάλι; Θερμοκρασία λαμπρότητας; Φασματικός χώρος χαρακτηριστικών; Αλγόριθμος ανίχνευσης μετώπων φωτιάς; Αλγόριθμος ανίχνευσης λοφίων; Αλγόριθμος παρακολούθησης λοφίων; Αλγόριθμος εντοπισμού νεφών; Technological accidents; Digital image processing; Spectral channel; Feature space; Fire detection algoritm; Plume detection and monitoring algorithm; Cloud detection algorithm; Brigtness temperature

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APA (6th Edition):

Χρυσουλάκης, . . (2000). Ανάπτυξη πρότυπου αλγόριθμου για την ανίχνευση και παρακολούθηση μετώπων φωτιάς και λοφίων που προκαλούνται από βιομηχανικά ατυχήματα με χρήση δορυφορικής τηλεπισκόπησης. (Thesis). National and Kapodistrian University of Athens; Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών (ΕΚΠΑ). Retrieved from http://hdl.handle.net/10442/hedi/22632

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Χρυσουλάκης, Νεκτάριος. “Ανάπτυξη πρότυπου αλγόριθμου για την ανίχνευση και παρακολούθηση μετώπων φωτιάς και λοφίων που προκαλούνται από βιομηχανικά ατυχήματα με χρήση δορυφορικής τηλεπισκόπησης.” 2000. Thesis, National and Kapodistrian University of Athens; Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών (ΕΚΠΑ). Accessed July 23, 2019. http://hdl.handle.net/10442/hedi/22632.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Χρυσουλάκης, Νεκτάριος. “Ανάπτυξη πρότυπου αλγόριθμου για την ανίχνευση και παρακολούθηση μετώπων φωτιάς και λοφίων που προκαλούνται από βιομηχανικά ατυχήματα με χρήση δορυφορικής τηλεπισκόπησης.” 2000. Web. 23 Jul 2019.

Vancouver:

Χρυσουλάκης . Ανάπτυξη πρότυπου αλγόριθμου για την ανίχνευση και παρακολούθηση μετώπων φωτιάς και λοφίων που προκαλούνται από βιομηχανικά ατυχήματα με χρήση δορυφορικής τηλεπισκόπησης. [Internet] [Thesis]. National and Kapodistrian University of Athens; Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών (ΕΚΠΑ); 2000. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/10442/hedi/22632.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Χρυσουλάκης . Ανάπτυξη πρότυπου αλγόριθμου για την ανίχνευση και παρακολούθηση μετώπων φωτιάς και λοφίων που προκαλούνται από βιομηχανικά ατυχήματα με χρήση δορυφορικής τηλεπισκόπησης. [Thesis]. National and Kapodistrian University of Athens; Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών (ΕΚΠΑ); 2000. Available from: http://hdl.handle.net/10442/hedi/22632

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Manitoba

3. Shateri, Mohammadhadi. Acoustic emission monitoring of damage progression in fiber reinforced polymer rods.

Degree: Electrical and Computer Engineering, 2017, University of Manitoba

 The fiber reinforced polymer (FRP) bars have been widely used in pre-stressing applications and reinforcing of the civil structures. High strength-to-weight ratio and high resistance… (more)

Subjects/Keywords: Acoustic emission signal; Fiber reinforced polymer rod; Damage monitoring and failure prediction; RMS detection algorithm; Shannon entropy; Fuzzy C-means clustering

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APA (6th Edition):

Shateri, M. (2017). Acoustic emission monitoring of damage progression in fiber reinforced polymer rods. (Masters Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/32148

Chicago Manual of Style (16th Edition):

Shateri, Mohammadhadi. “Acoustic emission monitoring of damage progression in fiber reinforced polymer rods.” 2017. Masters Thesis, University of Manitoba. Accessed July 23, 2019. http://hdl.handle.net/1993/32148.

MLA Handbook (7th Edition):

Shateri, Mohammadhadi. “Acoustic emission monitoring of damage progression in fiber reinforced polymer rods.” 2017. Web. 23 Jul 2019.

Vancouver:

Shateri M. Acoustic emission monitoring of damage progression in fiber reinforced polymer rods. [Internet] [Masters thesis]. University of Manitoba; 2017. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/1993/32148.

Council of Science Editors:

Shateri M. Acoustic emission monitoring of damage progression in fiber reinforced polymer rods. [Masters Thesis]. University of Manitoba; 2017. Available from: http://hdl.handle.net/1993/32148


University of Sydney

4. Chaudry, Rabia. Monitoring live virtual resources by means of benchmarking .

Degree: 2016, University of Sydney

 Many web information systems and applications are now run as cloud-hosted systems. The consumers often rely on the cloud provider for notification of any disruption… (more)

Subjects/Keywords: cloud; monitoring; benchmarking; failure; detection

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APA (6th Edition):

Chaudry, R. (2016). Monitoring live virtual resources by means of benchmarking . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/16768

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chaudry, Rabia. “Monitoring live virtual resources by means of benchmarking .” 2016. Thesis, University of Sydney. Accessed July 23, 2019. http://hdl.handle.net/2123/16768.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chaudry, Rabia. “Monitoring live virtual resources by means of benchmarking .” 2016. Web. 23 Jul 2019.

Vancouver:

Chaudry R. Monitoring live virtual resources by means of benchmarking . [Internet] [Thesis]. University of Sydney; 2016. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/2123/16768.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chaudry R. Monitoring live virtual resources by means of benchmarking . [Thesis]. University of Sydney; 2016. Available from: http://hdl.handle.net/2123/16768

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Illinois – Urbana-Champaign

5. Phan, Duc H. Anomaly detection for environmental noise monitoring.

Degree: MS, Electrical & Computer Engr, 2018, University of Illinois – Urbana-Champaign

 Octave-band sound pressure level is the preferred measure for continuous environmental noise monitoring over raw audio because accepted standards and devices exist, these data do… (more)

Subjects/Keywords: Anomaly detection; environmental noise monitoring

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APA (6th Edition):

Phan, D. H. (2018). Anomaly detection for environmental noise monitoring. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/101116

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Phan, Duc H. “Anomaly detection for environmental noise monitoring.” 2018. Thesis, University of Illinois – Urbana-Champaign. Accessed July 23, 2019. http://hdl.handle.net/2142/101116.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Phan, Duc H. “Anomaly detection for environmental noise monitoring.” 2018. Web. 23 Jul 2019.

Vancouver:

Phan DH. Anomaly detection for environmental noise monitoring. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2018. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/2142/101116.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Phan DH. Anomaly detection for environmental noise monitoring. [Thesis]. University of Illinois – Urbana-Champaign; 2018. Available from: http://hdl.handle.net/2142/101116

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

6. Aracil, Javier. Performance evaluation of an online load change detection algorithm.

Degree: 2018, Institute of Electrical and Electronics Engineers

Subjects/Keywords: Algorithm validation; Change point detection; Component; Knowledge discovery; Network monitoring; Informática; Telecomunicaciones

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APA (6th Edition):

Aracil, J. (2018). Performance evaluation of an online load change detection algorithm. (Thesis). Institute of Electrical and Electronics Engineers. Retrieved from http://hdl.handle.net/10486/667251

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Aracil, Javier. “Performance evaluation of an online load change detection algorithm.” 2018. Thesis, Institute of Electrical and Electronics Engineers. Accessed July 23, 2019. http://hdl.handle.net/10486/667251.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Aracil, Javier. “Performance evaluation of an online load change detection algorithm.” 2018. Web. 23 Jul 2019.

Vancouver:

Aracil J. Performance evaluation of an online load change detection algorithm. [Internet] [Thesis]. Institute of Electrical and Electronics Engineers; 2018. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/10486/667251.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Aracil J. Performance evaluation of an online load change detection algorithm. [Thesis]. Institute of Electrical and Electronics Engineers; 2018. Available from: http://hdl.handle.net/10486/667251

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Melbourne

7. JEONG, MYEONG HUN. Qualitative characteristics of fields monitored by a resource-constrained geosensor network.

Degree: 2014, University of Melbourne

 This research investigates efficient monitoring of the qualitative characteristics of, and changes to spatial fields monitored by a geosensor network (GSN). A spatial field maps… (more)

Subjects/Keywords: geosensor network; decentralized spatial computing; coordinate-free algorithm; 4-intersection model; intersection and difference model; granularity; surface networks; critical points; discrete Morse theory; spatial event detection; environmental monitoring

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APA (6th Edition):

JEONG, M. H. (2014). Qualitative characteristics of fields monitored by a resource-constrained geosensor network. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/40761

Chicago Manual of Style (16th Edition):

JEONG, MYEONG HUN. “Qualitative characteristics of fields monitored by a resource-constrained geosensor network.” 2014. Doctoral Dissertation, University of Melbourne. Accessed July 23, 2019. http://hdl.handle.net/11343/40761.

MLA Handbook (7th Edition):

JEONG, MYEONG HUN. “Qualitative characteristics of fields monitored by a resource-constrained geosensor network.” 2014. Web. 23 Jul 2019.

Vancouver:

JEONG MH. Qualitative characteristics of fields monitored by a resource-constrained geosensor network. [Internet] [Doctoral dissertation]. University of Melbourne; 2014. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/11343/40761.

Council of Science Editors:

JEONG MH. Qualitative characteristics of fields monitored by a resource-constrained geosensor network. [Doctoral Dissertation]. University of Melbourne; 2014. Available from: http://hdl.handle.net/11343/40761


Univerzitet u Beogradu

8. Šiniković, Goran B., 1973-. Detekcija oštećenja ležaja u ultrazvučnom domenu.

Degree: Mašinski fakultet, 2013, Univerzitet u Beogradu

Mašinstvo - Dinamika mašina / Mechanical engineering - Machine dynamics

Svi ležajevi, ispravni ili oštećeni, novi ili korišćeni, u radu generišu odreĎeni nivo ultrazvuka, kao… (more)

Subjects/Keywords: Bearing fault detection; Condition monitoring; Vibration; Ultrasound

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APA (6th Edition):

Šiniković, Goran B., 1. (2013). Detekcija oštećenja ležaja u ultrazvučnom domenu. (Thesis). Univerzitet u Beogradu. Retrieved from https://fedorabg.bg.ac.rs/fedora/get/o:6301/bdef:Content/get

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Šiniković, Goran B., 1973-. “Detekcija oštećenja ležaja u ultrazvučnom domenu.” 2013. Thesis, Univerzitet u Beogradu. Accessed July 23, 2019. https://fedorabg.bg.ac.rs/fedora/get/o:6301/bdef:Content/get.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Šiniković, Goran B., 1973-. “Detekcija oštećenja ležaja u ultrazvučnom domenu.” 2013. Web. 23 Jul 2019.

Vancouver:

Šiniković, Goran B. 1. Detekcija oštećenja ležaja u ultrazvučnom domenu. [Internet] [Thesis]. Univerzitet u Beogradu; 2013. [cited 2019 Jul 23]. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:6301/bdef:Content/get.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Šiniković, Goran B. 1. Detekcija oštećenja ležaja u ultrazvučnom domenu. [Thesis]. Univerzitet u Beogradu; 2013. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:6301/bdef:Content/get

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Adelaide

9. Soleimanpour, Reza. Damage detection of defects using linear and nonlinear guided waves.

Degree: 2016, University of Adelaide

 In the past few years, application of guided waves for damage detection has been a topic of significant interest for many studies. Conventional guided wave… (more)

Subjects/Keywords: guided waves; damage detection; structural health monitoring

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APA (6th Edition):

Soleimanpour, R. (2016). Damage detection of defects using linear and nonlinear guided waves. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/103736

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Soleimanpour, Reza. “Damage detection of defects using linear and nonlinear guided waves.” 2016. Thesis, University of Adelaide. Accessed July 23, 2019. http://hdl.handle.net/2440/103736.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Soleimanpour, Reza. “Damage detection of defects using linear and nonlinear guided waves.” 2016. Web. 23 Jul 2019.

Vancouver:

Soleimanpour R. Damage detection of defects using linear and nonlinear guided waves. [Internet] [Thesis]. University of Adelaide; 2016. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/2440/103736.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Soleimanpour R. Damage detection of defects using linear and nonlinear guided waves. [Thesis]. University of Adelaide; 2016. Available from: http://hdl.handle.net/2440/103736

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Delft University of Technology

10. Alphenaar, K.J. An intensified vegetation classification of the Dutch river forelands: Designing a new, automatic classification and change detection method :.

Degree: 2016, Delft University of Technology

 The current vegetation monitoring method of Rijkswaterstaat is a manual, time consuming and costly method and therefore only is performed once in six years. The… (more)

Subjects/Keywords: classification; vegetation monitoring; river forelands; change detection

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APA (6th Edition):

Alphenaar, K. J. (2016). An intensified vegetation classification of the Dutch river forelands: Designing a new, automatic classification and change detection method :. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:20867a0e-e012-44bd-a210-c9c4a0901f06

Chicago Manual of Style (16th Edition):

Alphenaar, K J. “An intensified vegetation classification of the Dutch river forelands: Designing a new, automatic classification and change detection method :.” 2016. Masters Thesis, Delft University of Technology. Accessed July 23, 2019. http://resolver.tudelft.nl/uuid:20867a0e-e012-44bd-a210-c9c4a0901f06.

MLA Handbook (7th Edition):

Alphenaar, K J. “An intensified vegetation classification of the Dutch river forelands: Designing a new, automatic classification and change detection method :.” 2016. Web. 23 Jul 2019.

Vancouver:

Alphenaar KJ. An intensified vegetation classification of the Dutch river forelands: Designing a new, automatic classification and change detection method :. [Internet] [Masters thesis]. Delft University of Technology; 2016. [cited 2019 Jul 23]. Available from: http://resolver.tudelft.nl/uuid:20867a0e-e012-44bd-a210-c9c4a0901f06.

Council of Science Editors:

Alphenaar KJ. An intensified vegetation classification of the Dutch river forelands: Designing a new, automatic classification and change detection method :. [Masters Thesis]. Delft University of Technology; 2016. Available from: http://resolver.tudelft.nl/uuid:20867a0e-e012-44bd-a210-c9c4a0901f06


University of Connecticut

11. Dahal, Sushil. Structural Health Monitoring for In-Service Highway Bridges Using Smart Sensors.

Degree: MS, Civil Engineering, 2013, University of Connecticut

  With the rapid development of electrical circuits, Microelectromechanical system (MEMS) and network technology, wireless smart sensor networks (WSSN) have shown significant potential for replacing… (more)

Subjects/Keywords: Structural Health Monitoring; Damage Detection; Wireless Sensor

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APA (6th Edition):

Dahal, S. (2013). Structural Health Monitoring for In-Service Highway Bridges Using Smart Sensors. (Masters Thesis). University of Connecticut. Retrieved from https://opencommons.uconn.edu/gs_theses/381

Chicago Manual of Style (16th Edition):

Dahal, Sushil. “Structural Health Monitoring for In-Service Highway Bridges Using Smart Sensors.” 2013. Masters Thesis, University of Connecticut. Accessed July 23, 2019. https://opencommons.uconn.edu/gs_theses/381.

MLA Handbook (7th Edition):

Dahal, Sushil. “Structural Health Monitoring for In-Service Highway Bridges Using Smart Sensors.” 2013. Web. 23 Jul 2019.

Vancouver:

Dahal S. Structural Health Monitoring for In-Service Highway Bridges Using Smart Sensors. [Internet] [Masters thesis]. University of Connecticut; 2013. [cited 2019 Jul 23]. Available from: https://opencommons.uconn.edu/gs_theses/381.

Council of Science Editors:

Dahal S. Structural Health Monitoring for In-Service Highway Bridges Using Smart Sensors. [Masters Thesis]. University of Connecticut; 2013. Available from: https://opencommons.uconn.edu/gs_theses/381


University of New South Wales

12. Zhang, Zhifang. Assessment of Delaminations in Composite Laminates using Vibration Monitoring.

Degree: Engineering & Information Technology, 2013, University of New South Wales

 Fibre-reinforced polymer composite laminates are now commonly used in many structural applications, especially in the aerospace industry, where margins of safety are kept low in… (more)

Subjects/Keywords: Composite laminates; Delamination; Vibration monitoring; Damage detection

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APA (6th Edition):

Zhang, Z. (2013). Assessment of Delaminations in Composite Laminates using Vibration Monitoring. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/53026 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11704/SOURCE01?view=true

Chicago Manual of Style (16th Edition):

Zhang, Zhifang. “Assessment of Delaminations in Composite Laminates using Vibration Monitoring.” 2013. Doctoral Dissertation, University of New South Wales. Accessed July 23, 2019. http://handle.unsw.edu.au/1959.4/53026 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11704/SOURCE01?view=true.

MLA Handbook (7th Edition):

Zhang, Zhifang. “Assessment of Delaminations in Composite Laminates using Vibration Monitoring.” 2013. Web. 23 Jul 2019.

Vancouver:

Zhang Z. Assessment of Delaminations in Composite Laminates using Vibration Monitoring. [Internet] [Doctoral dissertation]. University of New South Wales; 2013. [cited 2019 Jul 23]. Available from: http://handle.unsw.edu.au/1959.4/53026 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11704/SOURCE01?view=true.

Council of Science Editors:

Zhang Z. Assessment of Delaminations in Composite Laminates using Vibration Monitoring. [Doctoral Dissertation]. University of New South Wales; 2013. Available from: http://handle.unsw.edu.au/1959.4/53026 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11704/SOURCE01?view=true


University of California – San Diego

13. Wilson, Brent M. Monitoring recognition memory: A signal detection analysis of internally and externally generated influences on discriminability and response bias.

Degree: Psychology, 2017, University of California – San Diego

 This dissertation contributes to a growing body of research that attempts to bridge the chasm between basic and applied memory research. Its basic approach is… (more)

Subjects/Keywords: Psychology; Cognitive psychology; memory; reality monitoring; signal detection theory; source monitoring

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APA (6th Edition):

Wilson, B. M. (2017). Monitoring recognition memory: A signal detection analysis of internally and externally generated influences on discriminability and response bias. (Thesis). University of California – San Diego. Retrieved from http://www.escholarship.org/uc/item/50j7n7j4

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wilson, Brent M. “Monitoring recognition memory: A signal detection analysis of internally and externally generated influences on discriminability and response bias.” 2017. Thesis, University of California – San Diego. Accessed July 23, 2019. http://www.escholarship.org/uc/item/50j7n7j4.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wilson, Brent M. “Monitoring recognition memory: A signal detection analysis of internally and externally generated influences on discriminability and response bias.” 2017. Web. 23 Jul 2019.

Vancouver:

Wilson BM. Monitoring recognition memory: A signal detection analysis of internally and externally generated influences on discriminability and response bias. [Internet] [Thesis]. University of California – San Diego; 2017. [cited 2019 Jul 23]. Available from: http://www.escholarship.org/uc/item/50j7n7j4.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wilson BM. Monitoring recognition memory: A signal detection analysis of internally and externally generated influences on discriminability and response bias. [Thesis]. University of California – San Diego; 2017. Available from: http://www.escholarship.org/uc/item/50j7n7j4

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Alberta

14. Li, Benzhe. Abnormality Detection Methods for Utility Equipment Condition Monitoring.

Degree: MS, Department of Electrical and Computer Engineering, 2016, University of Alberta

 The wide spread use of power quality monitoring tools in recent years has enabled utility companies to extract non-power-quality information from the power quality monitoring(more)

Subjects/Keywords: abnormality detection; signatures of equipment failures; soft detection; equipment condition monitoring

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Li, B. (2016). Abnormality Detection Methods for Utility Equipment Condition Monitoring. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/c0c483j55v

Chicago Manual of Style (16th Edition):

Li, Benzhe. “Abnormality Detection Methods for Utility Equipment Condition Monitoring.” 2016. Masters Thesis, University of Alberta. Accessed July 23, 2019. https://era.library.ualberta.ca/files/c0c483j55v.

MLA Handbook (7th Edition):

Li, Benzhe. “Abnormality Detection Methods for Utility Equipment Condition Monitoring.” 2016. Web. 23 Jul 2019.

Vancouver:

Li B. Abnormality Detection Methods for Utility Equipment Condition Monitoring. [Internet] [Masters thesis]. University of Alberta; 2016. [cited 2019 Jul 23]. Available from: https://era.library.ualberta.ca/files/c0c483j55v.

Council of Science Editors:

Li B. Abnormality Detection Methods for Utility Equipment Condition Monitoring. [Masters Thesis]. University of Alberta; 2016. Available from: https://era.library.ualberta.ca/files/c0c483j55v


University of Technology, Sydney

15. San, PP. Application of advanced neural networks in hypoglycemia detection system.

Degree: 2013, University of Technology, Sydney

  Hypoglycemia is the medical term for a state produced by lower levels of blood glucose. It represents a significant hazard in patients with Type… (more)

Subjects/Keywords: Type 1 diabetes mellitus (TlDM).; Hypoglycemia.; Deficient glucose counter-regulation.; Continuous monitoring.; Blood glucose level (BGL).; Sudden nocturnal death.; ECG QT prolongation.; Ventricular tachyarrhythmia.; Non-invasive hypoglycaemia detection.; Hybrid particle swarm optimization with wavelet mutation (HPSOWM) algorithm.

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APA (6th Edition):

San, P. (2013). Application of advanced neural networks in hypoglycemia detection system. (Thesis). University of Technology, Sydney. Retrieved from http://hdl.handle.net/10453/39519

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

San, PP. “Application of advanced neural networks in hypoglycemia detection system.” 2013. Thesis, University of Technology, Sydney. Accessed July 23, 2019. http://hdl.handle.net/10453/39519.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

San, PP. “Application of advanced neural networks in hypoglycemia detection system.” 2013. Web. 23 Jul 2019.

Vancouver:

San P. Application of advanced neural networks in hypoglycemia detection system. [Internet] [Thesis]. University of Technology, Sydney; 2013. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/10453/39519.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

San P. Application of advanced neural networks in hypoglycemia detection system. [Thesis]. University of Technology, Sydney; 2013. Available from: http://hdl.handle.net/10453/39519

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

16. Song, Chunhui. Strain decomposition for the soft elastomeric capacitors (SECs) network and investigation of sensor placement's effect on estimating accuracy.

Degree: 2014, Iowa State University

 An innovative sensor network consists of soft elastomeric capacitors (SECs) has been proposed for large scale civil infrastructures such as wind turbines. Each SEC unit… (more)

Subjects/Keywords: Damage detection; Least square estimator; Structural health monitoring; Surface fitting algorithm; Civil Engineering

…Structural health monitoring (SHM) is a technique that implements damage detection and… …components. To perform the strain decomposition task, a strain surface fitting algorithm using… …polynomial interpolation functions has been developed. Firstly, the proposed algorithm was… …agreement with real strain data extracted from the finite element models. Once the algorithm was… …structural health at any given time. Considered from both safe and economical aspects, a monitoring… 

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APA (6th Edition):

Song, C. (2014). Strain decomposition for the soft elastomeric capacitors (SECs) network and investigation of sensor placement's effect on estimating accuracy. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/13977

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Song, Chunhui. “Strain decomposition for the soft elastomeric capacitors (SECs) network and investigation of sensor placement's effect on estimating accuracy.” 2014. Thesis, Iowa State University. Accessed July 23, 2019. https://lib.dr.iastate.edu/etd/13977.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Song, Chunhui. “Strain decomposition for the soft elastomeric capacitors (SECs) network and investigation of sensor placement's effect on estimating accuracy.” 2014. Web. 23 Jul 2019.

Vancouver:

Song C. Strain decomposition for the soft elastomeric capacitors (SECs) network and investigation of sensor placement's effect on estimating accuracy. [Internet] [Thesis]. Iowa State University; 2014. [cited 2019 Jul 23]. Available from: https://lib.dr.iastate.edu/etd/13977.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Song C. Strain decomposition for the soft elastomeric capacitors (SECs) network and investigation of sensor placement's effect on estimating accuracy. [Thesis]. Iowa State University; 2014. Available from: https://lib.dr.iastate.edu/etd/13977

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

17. KAUSHIK GHOSH. Effective Fault Diagnosis in Chemical Plants By Integrating Multiple Methodologies.

Degree: 2012, National University of Singapore

Subjects/Keywords: Fault Detection and Identification; Process Monitoring; Data driven FDI approaches; Negative Selection Algorithm; Variable selection; Hierarchical FDI

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APA (6th Edition):

GHOSH, K. (2012). Effective Fault Diagnosis in Chemical Plants By Integrating Multiple Methodologies. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/35542

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

GHOSH, KAUSHIK. “Effective Fault Diagnosis in Chemical Plants By Integrating Multiple Methodologies.” 2012. Thesis, National University of Singapore. Accessed July 23, 2019. http://scholarbank.nus.edu.sg/handle/10635/35542.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

GHOSH, KAUSHIK. “Effective Fault Diagnosis in Chemical Plants By Integrating Multiple Methodologies.” 2012. Web. 23 Jul 2019.

Vancouver:

GHOSH K. Effective Fault Diagnosis in Chemical Plants By Integrating Multiple Methodologies. [Internet] [Thesis]. National University of Singapore; 2012. [cited 2019 Jul 23]. Available from: http://scholarbank.nus.edu.sg/handle/10635/35542.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

GHOSH K. Effective Fault Diagnosis in Chemical Plants By Integrating Multiple Methodologies. [Thesis]. National University of Singapore; 2012. Available from: http://scholarbank.nus.edu.sg/handle/10635/35542

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Alberta

18. Zeng, Qi. Data-driven Process Monitoring and Fault Detection with Convex Geometry.

Degree: MS, Department of Electrical and Computer Engineering, 2016, University of Alberta

 Nowadays, industrial processes are becoming highly complex and integrated due to the applications of advanced distributed control systems. As multiple production units with thousands of… (more)

Subjects/Keywords: Process Monitoring; Fault Detection; Alarm Monitoring; Computational Geometry; Convex Hull; Process Data Analytics

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APA (6th Edition):

Zeng, Q. (2016). Data-driven Process Monitoring and Fault Detection with Convex Geometry. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/cx346d452k

Chicago Manual of Style (16th Edition):

Zeng, Qi. “Data-driven Process Monitoring and Fault Detection with Convex Geometry.” 2016. Masters Thesis, University of Alberta. Accessed July 23, 2019. https://era.library.ualberta.ca/files/cx346d452k.

MLA Handbook (7th Edition):

Zeng, Qi. “Data-driven Process Monitoring and Fault Detection with Convex Geometry.” 2016. Web. 23 Jul 2019.

Vancouver:

Zeng Q. Data-driven Process Monitoring and Fault Detection with Convex Geometry. [Internet] [Masters thesis]. University of Alberta; 2016. [cited 2019 Jul 23]. Available from: https://era.library.ualberta.ca/files/cx346d452k.

Council of Science Editors:

Zeng Q. Data-driven Process Monitoring and Fault Detection with Convex Geometry. [Masters Thesis]. University of Alberta; 2016. Available from: https://era.library.ualberta.ca/files/cx346d452k


Deakin University

19. Lee, Yee Siong. Detection and analysis of human respiration using microwave Doppler radar.

Degree: 2015, Deakin University

  Non-contact detection characteristic of Doppler radar provides an unobtrusive means of respiration detection and monitoring. This avoids additional preparations such as physical sensor attachment or… (more)

Subjects/Keywords: Doppler radar; respiration detection and monitoring; biomedical devices; sleep monitoring; respiratory diseases

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APA (6th Edition):

Lee, Y. S. (2015). Detection and analysis of human respiration using microwave Doppler radar. (Thesis). Deakin University. Retrieved from http://hdl.handle.net/10536/DRO/DU:30083027

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lee, Yee Siong. “Detection and analysis of human respiration using microwave Doppler radar.” 2015. Thesis, Deakin University. Accessed July 23, 2019. http://hdl.handle.net/10536/DRO/DU:30083027.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lee, Yee Siong. “Detection and analysis of human respiration using microwave Doppler radar.” 2015. Web. 23 Jul 2019.

Vancouver:

Lee YS. Detection and analysis of human respiration using microwave Doppler radar. [Internet] [Thesis]. Deakin University; 2015. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/10536/DRO/DU:30083027.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lee YS. Detection and analysis of human respiration using microwave Doppler radar. [Thesis]. Deakin University; 2015. Available from: http://hdl.handle.net/10536/DRO/DU:30083027

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Connecticut

20. Plude, Shelley. Implementing a Long-Term Bridge Monitoring Strategy for a Composite Steel Girder Bridge.

Degree: MS, Civil Engineering, 2011, University of Connecticut

  The University of Connecticut and the Connecticut Department of Transportation have established a long-term bridge health monitoring system to monitor critical vulnerabilities in a… (more)

Subjects/Keywords: bridge monitoring; damage detection; finite element modeling; structural health monitoring; steel girder

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APA (6th Edition):

Plude, S. (2011). Implementing a Long-Term Bridge Monitoring Strategy for a Composite Steel Girder Bridge. (Masters Thesis). University of Connecticut. Retrieved from https://opencommons.uconn.edu/gs_theses/154

Chicago Manual of Style (16th Edition):

Plude, Shelley. “Implementing a Long-Term Bridge Monitoring Strategy for a Composite Steel Girder Bridge.” 2011. Masters Thesis, University of Connecticut. Accessed July 23, 2019. https://opencommons.uconn.edu/gs_theses/154.

MLA Handbook (7th Edition):

Plude, Shelley. “Implementing a Long-Term Bridge Monitoring Strategy for a Composite Steel Girder Bridge.” 2011. Web. 23 Jul 2019.

Vancouver:

Plude S. Implementing a Long-Term Bridge Monitoring Strategy for a Composite Steel Girder Bridge. [Internet] [Masters thesis]. University of Connecticut; 2011. [cited 2019 Jul 23]. Available from: https://opencommons.uconn.edu/gs_theses/154.

Council of Science Editors:

Plude S. Implementing a Long-Term Bridge Monitoring Strategy for a Composite Steel Girder Bridge. [Masters Thesis]. University of Connecticut; 2011. Available from: https://opencommons.uconn.edu/gs_theses/154


Rochester Institute of Technology

21. Chirico, Anthony J, III. A Data Driven Frequency Based Method For Electrical-Mechanical Actuator Condition Monitoring.

Degree: MS, Mechanical Engineering, 2012, Rochester Institute of Technology

  This research investigates a novel data driven approach to condition monitoring of Electro-Mechanical Actuators (EMAs) consisting of feature extraction and fault classification. Since many… (more)

Subjects/Keywords: Actuator; Condition monitoring; Fault detection; Health and usage monitoring; Pattern recognition; Prognostics and health management

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APA (6th Edition):

Chirico, Anthony J, I. (2012). A Data Driven Frequency Based Method For Electrical-Mechanical Actuator Condition Monitoring. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/8701

Chicago Manual of Style (16th Edition):

Chirico, Anthony J, III. “A Data Driven Frequency Based Method For Electrical-Mechanical Actuator Condition Monitoring.” 2012. Masters Thesis, Rochester Institute of Technology. Accessed July 23, 2019. https://scholarworks.rit.edu/theses/8701.

MLA Handbook (7th Edition):

Chirico, Anthony J, III. “A Data Driven Frequency Based Method For Electrical-Mechanical Actuator Condition Monitoring.” 2012. Web. 23 Jul 2019.

Vancouver:

Chirico, Anthony J I. A Data Driven Frequency Based Method For Electrical-Mechanical Actuator Condition Monitoring. [Internet] [Masters thesis]. Rochester Institute of Technology; 2012. [cited 2019 Jul 23]. Available from: https://scholarworks.rit.edu/theses/8701.

Council of Science Editors:

Chirico, Anthony J I. A Data Driven Frequency Based Method For Electrical-Mechanical Actuator Condition Monitoring. [Masters Thesis]. Rochester Institute of Technology; 2012. Available from: https://scholarworks.rit.edu/theses/8701


Georgia Tech

22. Dichek, Daniel J.G. Automatic Detection of Abnormal Motion.

Degree: MS, Electrical and Computer Engineering, 2018, Georgia Tech

 Modern robots are almost helpless in the real world despite their unprecedented perception. They struggle to react appropriately to random events. They require human supervisors… (more)

Subjects/Keywords: abnormal motion; robot; robotics; aamd; condition monitoring; HDBSCAN; dichek; icefin; execution monitoring; anomaly detection; abnormality detection

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APA (6th Edition):

Dichek, D. J. G. (2018). Automatic Detection of Abnormal Motion. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61136

Chicago Manual of Style (16th Edition):

Dichek, Daniel J G. “Automatic Detection of Abnormal Motion.” 2018. Masters Thesis, Georgia Tech. Accessed July 23, 2019. http://hdl.handle.net/1853/61136.

MLA Handbook (7th Edition):

Dichek, Daniel J G. “Automatic Detection of Abnormal Motion.” 2018. Web. 23 Jul 2019.

Vancouver:

Dichek DJG. Automatic Detection of Abnormal Motion. [Internet] [Masters thesis]. Georgia Tech; 2018. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/1853/61136.

Council of Science Editors:

Dichek DJG. Automatic Detection of Abnormal Motion. [Masters Thesis]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/61136


University of Alberta

23. Kotchon, Amanda Christine. Damage Detection in Tires From Strain Values Calculated Using Digital Image Correlation.

Degree: MS, Department of Mechanical Engineering, 2013, University of Alberta

 Tire failure in mining operations can hazardous, resulting in financial and productivity losses. There are opportunities to improve tire monitoring systems by safely and remotely… (more)

Subjects/Keywords: fault detection; condition monitoring; strain; tire; tires; damage detection; rubber strain; haulage tires; image correlation

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APA (6th Edition):

Kotchon, A. C. (2013). Damage Detection in Tires From Strain Values Calculated Using Digital Image Correlation. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/8910jv78t

Chicago Manual of Style (16th Edition):

Kotchon, Amanda Christine. “Damage Detection in Tires From Strain Values Calculated Using Digital Image Correlation.” 2013. Masters Thesis, University of Alberta. Accessed July 23, 2019. https://era.library.ualberta.ca/files/8910jv78t.

MLA Handbook (7th Edition):

Kotchon, Amanda Christine. “Damage Detection in Tires From Strain Values Calculated Using Digital Image Correlation.” 2013. Web. 23 Jul 2019.

Vancouver:

Kotchon AC. Damage Detection in Tires From Strain Values Calculated Using Digital Image Correlation. [Internet] [Masters thesis]. University of Alberta; 2013. [cited 2019 Jul 23]. Available from: https://era.library.ualberta.ca/files/8910jv78t.

Council of Science Editors:

Kotchon AC. Damage Detection in Tires From Strain Values Calculated Using Digital Image Correlation. [Masters Thesis]. University of Alberta; 2013. Available from: https://era.library.ualberta.ca/files/8910jv78t


Vanderbilt University

24. Khorasgani, Hamed Ghazavi. Model- and data-driven approaches to fault detection and isolation in complex systems.

Degree: PhD, Electrical Engineering, 2018, Vanderbilt University

 Complex engineering systems pervade every aspect of our daily lives. The need for increased performance, safety, and reliability of these systems provide the motivation for… (more)

Subjects/Keywords: Fault diagnosis; Fault detection and isolation; Unsupervised learning; Data-driven monitoring; Complex systems; Anomaly detection

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APA (6th Edition):

Khorasgani, H. G. (2018). Model- and data-driven approaches to fault detection and isolation in complex systems. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-01182018-134749/ ;

Chicago Manual of Style (16th Edition):

Khorasgani, Hamed Ghazavi. “Model- and data-driven approaches to fault detection and isolation in complex systems.” 2018. Doctoral Dissertation, Vanderbilt University. Accessed July 23, 2019. http://etd.library.vanderbilt.edu/available/etd-01182018-134749/ ;.

MLA Handbook (7th Edition):

Khorasgani, Hamed Ghazavi. “Model- and data-driven approaches to fault detection and isolation in complex systems.” 2018. Web. 23 Jul 2019.

Vancouver:

Khorasgani HG. Model- and data-driven approaches to fault detection and isolation in complex systems. [Internet] [Doctoral dissertation]. Vanderbilt University; 2018. [cited 2019 Jul 23]. Available from: http://etd.library.vanderbilt.edu/available/etd-01182018-134749/ ;.

Council of Science Editors:

Khorasgani HG. Model- and data-driven approaches to fault detection and isolation in complex systems. [Doctoral Dissertation]. Vanderbilt University; 2018. Available from: http://etd.library.vanderbilt.edu/available/etd-01182018-134749/ ;


The Ohio State University

25. Jiang, Xiaomo. Dynamic fuzzy wavelet neural network for system identification, damage detection and active control of highrise buildings.

Degree: PhD, Civil Engineering, 2005, The Ohio State University

 A multi-paradigm nonparametric model, dynamic fuzzy wavelet neural network (WNN) model, is developed for structural system identification of three dimensional highrise buildings. The model integrates… (more)

Subjects/Keywords: Engineering, Civil; Structural System Identification; Damage Detection; Structural Health Monitoring; Active Control; Dynamic Neural Network; Wavelets; Fuzzy Logic; Genetic Algorithm; Nonlinear Optimization

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APA (6th Edition):

Jiang, X. (2005). Dynamic fuzzy wavelet neural network for system identification, damage detection and active control of highrise buildings. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1110266591

Chicago Manual of Style (16th Edition):

Jiang, Xiaomo. “Dynamic fuzzy wavelet neural network for system identification, damage detection and active control of highrise buildings.” 2005. Doctoral Dissertation, The Ohio State University. Accessed July 23, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1110266591.

MLA Handbook (7th Edition):

Jiang, Xiaomo. “Dynamic fuzzy wavelet neural network for system identification, damage detection and active control of highrise buildings.” 2005. Web. 23 Jul 2019.

Vancouver:

Jiang X. Dynamic fuzzy wavelet neural network for system identification, damage detection and active control of highrise buildings. [Internet] [Doctoral dissertation]. The Ohio State University; 2005. [cited 2019 Jul 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1110266591.

Council of Science Editors:

Jiang X. Dynamic fuzzy wavelet neural network for system identification, damage detection and active control of highrise buildings. [Doctoral Dissertation]. The Ohio State University; 2005. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1110266591


Queensland University of Technology

26. Wang, Liang. Innovative damage assessment of steel truss bridges using modal strain energy correlation.

Degree: 2012, Queensland University of Technology

 As a part of vital infrastructure and transportation network, bridge structures must function safely at all times. Bridges are designed to have a long life… (more)

Subjects/Keywords: steel structures, structural health monitoring, through-truss bridge, natural frequency, mode shape, modal strain energy, damage detection, modal correlation, modal coherence, damage sensitivity, genetic algorithm, operational modal analysis; finite element model, finite element analysis, model updating, modal identification, modal test, vibration test, frequency domain decomposition, stochastic subspace identification, operational modal analysis, ambient vibration, output-only modal analysis; accelerometer, randomness check

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APA (6th Edition):

Wang, L. (2012). Innovative damage assessment of steel truss bridges using modal strain energy correlation. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/53177/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wang, Liang. “Innovative damage assessment of steel truss bridges using modal strain energy correlation.” 2012. Thesis, Queensland University of Technology. Accessed July 23, 2019. https://eprints.qut.edu.au/53177/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wang, Liang. “Innovative damage assessment of steel truss bridges using modal strain energy correlation.” 2012. Web. 23 Jul 2019.

Vancouver:

Wang L. Innovative damage assessment of steel truss bridges using modal strain energy correlation. [Internet] [Thesis]. Queensland University of Technology; 2012. [cited 2019 Jul 23]. Available from: https://eprints.qut.edu.au/53177/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang L. Innovative damage assessment of steel truss bridges using modal strain energy correlation. [Thesis]. Queensland University of Technology; 2012. Available from: https://eprints.qut.edu.au/53177/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Coventry University

27. Ojetola, O. Detection of human falls using wearable sensors.

Degree: PhD, 2013, Coventry University

 Wearable sensor systems composed of small and light sensing nodes have the potential to revolutionise healthcare. While uptake has increased over time in a variety… (more)

Subjects/Keywords: 610.285; telehealth, fall detection, remote patient monitoring, wearable sensors; Biosensors

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APA (6th Edition):

Ojetola, O. (2013). Detection of human falls using wearable sensors. (Doctoral Dissertation). Coventry University. Retrieved from http://curve.coventry.ac.uk/open/items/93d006a7-540d-4ceb-8e19-df03e2f6c67f/1 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.633637

Chicago Manual of Style (16th Edition):

Ojetola, O. “Detection of human falls using wearable sensors.” 2013. Doctoral Dissertation, Coventry University. Accessed July 23, 2019. http://curve.coventry.ac.uk/open/items/93d006a7-540d-4ceb-8e19-df03e2f6c67f/1 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.633637.

MLA Handbook (7th Edition):

Ojetola, O. “Detection of human falls using wearable sensors.” 2013. Web. 23 Jul 2019.

Vancouver:

Ojetola O. Detection of human falls using wearable sensors. [Internet] [Doctoral dissertation]. Coventry University; 2013. [cited 2019 Jul 23]. Available from: http://curve.coventry.ac.uk/open/items/93d006a7-540d-4ceb-8e19-df03e2f6c67f/1 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.633637.

Council of Science Editors:

Ojetola O. Detection of human falls using wearable sensors. [Doctoral Dissertation]. Coventry University; 2013. Available from: http://curve.coventry.ac.uk/open/items/93d006a7-540d-4ceb-8e19-df03e2f6c67f/1 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.633637


Dalhousie University

28. Culmer, Megan D. Detection of Ovulation in Dairy Cows by Twice-Daily Passive Monitoring of Reticulo-Rumen Temperature.

Degree: MS, Faculty of Agriculture, 2012, Dalhousie University

 The objective of this study was to determine the ability of a passive temperature monitoring system consisting of radio frequency identification (RFID) boluses with thermistors… (more)

Subjects/Keywords: dairy cow; reticulo-rumen temperature; passive temperature monitoring; ovulation detection

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Culmer, M. D. (2012). Detection of Ovulation in Dairy Cows by Twice-Daily Passive Monitoring of Reticulo-Rumen Temperature. (Masters Thesis). Dalhousie University. Retrieved from http://hdl.handle.net/10222/15857

Chicago Manual of Style (16th Edition):

Culmer, Megan D. “Detection of Ovulation in Dairy Cows by Twice-Daily Passive Monitoring of Reticulo-Rumen Temperature.” 2012. Masters Thesis, Dalhousie University. Accessed July 23, 2019. http://hdl.handle.net/10222/15857.

MLA Handbook (7th Edition):

Culmer, Megan D. “Detection of Ovulation in Dairy Cows by Twice-Daily Passive Monitoring of Reticulo-Rumen Temperature.” 2012. Web. 23 Jul 2019.

Vancouver:

Culmer MD. Detection of Ovulation in Dairy Cows by Twice-Daily Passive Monitoring of Reticulo-Rumen Temperature. [Internet] [Masters thesis]. Dalhousie University; 2012. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/10222/15857.

Council of Science Editors:

Culmer MD. Detection of Ovulation in Dairy Cows by Twice-Daily Passive Monitoring of Reticulo-Rumen Temperature. [Masters Thesis]. Dalhousie University; 2012. Available from: http://hdl.handle.net/10222/15857


University of Alberta

29. Mei, Qipei. Investigation of Time Series Analysis Based Damage Detection Methodologies for Structural Health Monitoring.

Degree: MS, Department of Civil and Environmental Engineering, 2014, University of Alberta

 Structural Health Monitoring (SHM) is widely accepted as a valuable tool for monitoring, inspecting and maintaining infrastructure systems. Damage detection is one of the most… (more)

Subjects/Keywords: Structural Health Monitoring; Damage Detection; Time Series Analysis

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Mei, Q. (2014). Investigation of Time Series Analysis Based Damage Detection Methodologies for Structural Health Monitoring. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/7d278t619

Chicago Manual of Style (16th Edition):

Mei, Qipei. “Investigation of Time Series Analysis Based Damage Detection Methodologies for Structural Health Monitoring.” 2014. Masters Thesis, University of Alberta. Accessed July 23, 2019. https://era.library.ualberta.ca/files/7d278t619.

MLA Handbook (7th Edition):

Mei, Qipei. “Investigation of Time Series Analysis Based Damage Detection Methodologies for Structural Health Monitoring.” 2014. Web. 23 Jul 2019.

Vancouver:

Mei Q. Investigation of Time Series Analysis Based Damage Detection Methodologies for Structural Health Monitoring. [Internet] [Masters thesis]. University of Alberta; 2014. [cited 2019 Jul 23]. Available from: https://era.library.ualberta.ca/files/7d278t619.

Council of Science Editors:

Mei Q. Investigation of Time Series Analysis Based Damage Detection Methodologies for Structural Health Monitoring. [Masters Thesis]. University of Alberta; 2014. Available from: https://era.library.ualberta.ca/files/7d278t619


Texas A&M University

30. Orsak, John. A Theoretical Structural Impairment Detection System for Timber Railway Bridges.

Degree: 2012, Texas A&M University

 The objective of this research is to develop a theoretical Structural Impairment Detection System (SIDS) for timber railway bridges. Due to fatigue, the timber stringers… (more)

Subjects/Keywords: timber bridges; structural impairment detection; structural health monitoring; structural engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Orsak, J. (2012). A Theoretical Structural Impairment Detection System for Timber Railway Bridges. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10919

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Orsak, John. “A Theoretical Structural Impairment Detection System for Timber Railway Bridges.” 2012. Thesis, Texas A&M University. Accessed July 23, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10919.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Orsak, John. “A Theoretical Structural Impairment Detection System for Timber Railway Bridges.” 2012. Web. 23 Jul 2019.

Vancouver:

Orsak J. A Theoretical Structural Impairment Detection System for Timber Railway Bridges. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10919.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Orsak J. A Theoretical Structural Impairment Detection System for Timber Railway Bridges. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10919

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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