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You searched for subject:(Crack detection). Showing records 1 – 30 of 69 total matches.

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Georgia Tech

1. Jiang, Chenglong. A crack detection and diagnosis methodology for automated pavement condition evaluation.

Degree: PhD, Civil and Environmental Engineering, 2015, Georgia Tech

 Pavement cracks are one of the most common pavement surface distresses. Traditionally, pavement crack evaluation is conducted manually through a human field survey, which is… (more)

Subjects/Keywords: Pavement condition evaluation; Crack detection; Crack classification

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APA (6th Edition):

Jiang, C. (2015). A crack detection and diagnosis methodology for automated pavement condition evaluation. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55524

Chicago Manual of Style (16th Edition):

Jiang, Chenglong. “A crack detection and diagnosis methodology for automated pavement condition evaluation.” 2015. Doctoral Dissertation, Georgia Tech. Accessed October 21, 2019. http://hdl.handle.net/1853/55524.

MLA Handbook (7th Edition):

Jiang, Chenglong. “A crack detection and diagnosis methodology for automated pavement condition evaluation.” 2015. Web. 21 Oct 2019.

Vancouver:

Jiang C. A crack detection and diagnosis methodology for automated pavement condition evaluation. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/1853/55524.

Council of Science Editors:

Jiang C. A crack detection and diagnosis methodology for automated pavement condition evaluation. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/55524


Case Western Reserve University

2. LaBerge, Kelsen. Exploratory Research on a Method for Detecting Shaft Radial Cracks: Severity, Location, and Feasibility.

Degree: PhD, EMC - Mechanical Engineering, 2008, Case Western Reserve University

Crack failure is among the most dreaded failures experienced in rotating machinery. It is therefore important to be able to detect a crack before failure… (more)

Subjects/Keywords: Engineering; Mechanical Engineering; crack; rotor; rotating machinery; elastic waves; crack detection

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APA (6th Edition):

LaBerge, K. (2008). Exploratory Research on a Method for Detecting Shaft Radial Cracks: Severity, Location, and Feasibility. (Doctoral Dissertation). Case Western Reserve University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=case1228403434

Chicago Manual of Style (16th Edition):

LaBerge, Kelsen. “Exploratory Research on a Method for Detecting Shaft Radial Cracks: Severity, Location, and Feasibility.” 2008. Doctoral Dissertation, Case Western Reserve University. Accessed October 21, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=case1228403434.

MLA Handbook (7th Edition):

LaBerge, Kelsen. “Exploratory Research on a Method for Detecting Shaft Radial Cracks: Severity, Location, and Feasibility.” 2008. Web. 21 Oct 2019.

Vancouver:

LaBerge K. Exploratory Research on a Method for Detecting Shaft Radial Cracks: Severity, Location, and Feasibility. [Internet] [Doctoral dissertation]. Case Western Reserve University; 2008. [cited 2019 Oct 21]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1228403434.

Council of Science Editors:

LaBerge K. Exploratory Research on a Method for Detecting Shaft Radial Cracks: Severity, Location, and Feasibility. [Doctoral Dissertation]. Case Western Reserve University; 2008. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1228403434


University of Central Florida

3. Wu, Liuliu. Applications of Computer Vision Technologies of Automated Crack Detection and Quantification for the Inspection of Civil Infrastructure Systems.

Degree: 2015, University of Central Florida

 Many components of existing civil infrastructure systems, such as road pavement, bridges, and buildings, are suffered from rapid aging, which require enormous nation's resources from… (more)

Subjects/Keywords: Crack detection; crack quantification; civil infrastructure inspection; Civil Engineering; Engineering

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APA (6th Edition):

Wu, L. (2015). Applications of Computer Vision Technologies of Automated Crack Detection and Quantification for the Inspection of Civil Infrastructure Systems. (Doctoral Dissertation). University of Central Florida. Retrieved from https://stars.library.ucf.edu/etd/1320

Chicago Manual of Style (16th Edition):

Wu, Liuliu. “Applications of Computer Vision Technologies of Automated Crack Detection and Quantification for the Inspection of Civil Infrastructure Systems.” 2015. Doctoral Dissertation, University of Central Florida. Accessed October 21, 2019. https://stars.library.ucf.edu/etd/1320.

MLA Handbook (7th Edition):

Wu, Liuliu. “Applications of Computer Vision Technologies of Automated Crack Detection and Quantification for the Inspection of Civil Infrastructure Systems.” 2015. Web. 21 Oct 2019.

Vancouver:

Wu L. Applications of Computer Vision Technologies of Automated Crack Detection and Quantification for the Inspection of Civil Infrastructure Systems. [Internet] [Doctoral dissertation]. University of Central Florida; 2015. [cited 2019 Oct 21]. Available from: https://stars.library.ucf.edu/etd/1320.

Council of Science Editors:

Wu L. Applications of Computer Vision Technologies of Automated Crack Detection and Quantification for the Inspection of Civil Infrastructure Systems. [Doctoral Dissertation]. University of Central Florida; 2015. Available from: https://stars.library.ucf.edu/etd/1320


Cranfield University

4. Gagar, Daniel Omatsola. Validation and Veri cation of the Acoustic Emission Technique for Structural Health Monitoring.

Degree: PhD, 2013, Cranfield University

 The performance of the Acoustic Emission (AE) technique was investigated to establish its reliability in detecting and locating fatigue crack damage as well as distinguishing… (more)

Subjects/Keywords: Fatigue crack; Probability of Detection; Diagnostics; Prognostics

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APA (6th Edition):

Gagar, D. O. (2013). Validation and Veri cation of the Acoustic Emission Technique for Structural Health Monitoring. (Doctoral Dissertation). Cranfield University. Retrieved from http://dspace.lib.cranfield.ac.uk/handle/1826/8402

Chicago Manual of Style (16th Edition):

Gagar, Daniel Omatsola. “Validation and Veri cation of the Acoustic Emission Technique for Structural Health Monitoring.” 2013. Doctoral Dissertation, Cranfield University. Accessed October 21, 2019. http://dspace.lib.cranfield.ac.uk/handle/1826/8402.

MLA Handbook (7th Edition):

Gagar, Daniel Omatsola. “Validation and Veri cation of the Acoustic Emission Technique for Structural Health Monitoring.” 2013. Web. 21 Oct 2019.

Vancouver:

Gagar DO. Validation and Veri cation of the Acoustic Emission Technique for Structural Health Monitoring. [Internet] [Doctoral dissertation]. Cranfield University; 2013. [cited 2019 Oct 21]. Available from: http://dspace.lib.cranfield.ac.uk/handle/1826/8402.

Council of Science Editors:

Gagar DO. Validation and Veri cation of the Acoustic Emission Technique for Structural Health Monitoring. [Doctoral Dissertation]. Cranfield University; 2013. Available from: http://dspace.lib.cranfield.ac.uk/handle/1826/8402

5. Day, Allison. Image-based “D”-crack detection in pavements.

Degree: MS, Department of Electrical and Computer Engineering, 2011, Kansas State University

 This thesis proposes an automated crack detection and classification algorithm to detect durability cracking (“D”-cracking) in pavement by using image processing and pattern recognition techniques.… (more)

Subjects/Keywords: Image processing; Crack detection; Electrical Engineering (0544)

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APA (6th Edition):

Day, A. (2011). Image-based “D”-crack detection in pavements. (Masters Thesis). Kansas State University. Retrieved from http://hdl.handle.net/2097/13175

Chicago Manual of Style (16th Edition):

Day, Allison. “Image-based “D”-crack detection in pavements.” 2011. Masters Thesis, Kansas State University. Accessed October 21, 2019. http://hdl.handle.net/2097/13175.

MLA Handbook (7th Edition):

Day, Allison. “Image-based “D”-crack detection in pavements.” 2011. Web. 21 Oct 2019.

Vancouver:

Day A. Image-based “D”-crack detection in pavements. [Internet] [Masters thesis]. Kansas State University; 2011. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/2097/13175.

Council of Science Editors:

Day A. Image-based “D”-crack detection in pavements. [Masters Thesis]. Kansas State University; 2011. Available from: http://hdl.handle.net/2097/13175


University of Waterloo

6. Albishi, Ali. Detection of Sub-Millimeter Surface Cracks using Complementary Split-Ring Resonator.

Degree: 2012, University of Waterloo

 Many interesting ideas have emerged from research on electromagnetic eld interactions with di erent materials. Analyzing such interactions has extracted some essential proper- ties of… (more)

Subjects/Keywords: Crack; Detection; Complementary split-ring resonators; Fatigue

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APA (6th Edition):

Albishi, A. (2012). Detection of Sub-Millimeter Surface Cracks using Complementary Split-Ring Resonator. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/6827

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):

Albishi, Ali. “Detection of Sub-Millimeter Surface Cracks using Complementary Split-Ring Resonator.” 2012. Thesis, University of Waterloo. Accessed October 21, 2019. http://hdl.handle.net/10012/6827.

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

MLA Handbook (7th Edition):

Albishi, Ali. “Detection of Sub-Millimeter Surface Cracks using Complementary Split-Ring Resonator.” 2012. Web. 21 Oct 2019.

Vancouver:

Albishi A. Detection of Sub-Millimeter Surface Cracks using Complementary Split-Ring Resonator. [Internet] [Thesis]. University of Waterloo; 2012. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/10012/6827.

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

Council of Science Editors:

Albishi A. Detection of Sub-Millimeter Surface Cracks using Complementary Split-Ring Resonator. [Thesis]. University of Waterloo; 2012. Available from: http://hdl.handle.net/10012/6827

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


University of Kansas

7. Elmore, Alisha M. Design, Development, and Modeling of a Compact, Field-Grade Civil Infrastructure Crack Detector Device.

Degree: PhD, Civil, Environmental & Architectural Engineering, 2014, University of Kansas

 Currently the nation's aging bridge infrastructure is approaching and in some cases exceeding its initial design life averaging more than forty years. Under these conditions… (more)

Subjects/Keywords: Civil engineering; Active Crack Opening; Bridge Inspection; Crack Detection; Crack Opening Displacement; Crack Tip Identification; PZT Sensor

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APA (6th Edition):

Elmore, A. M. (2014). Design, Development, and Modeling of a Compact, Field-Grade Civil Infrastructure Crack Detector Device. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/19573

Chicago Manual of Style (16th Edition):

Elmore, Alisha M. “Design, Development, and Modeling of a Compact, Field-Grade Civil Infrastructure Crack Detector Device.” 2014. Doctoral Dissertation, University of Kansas. Accessed October 21, 2019. http://hdl.handle.net/1808/19573.

MLA Handbook (7th Edition):

Elmore, Alisha M. “Design, Development, and Modeling of a Compact, Field-Grade Civil Infrastructure Crack Detector Device.” 2014. Web. 21 Oct 2019.

Vancouver:

Elmore AM. Design, Development, and Modeling of a Compact, Field-Grade Civil Infrastructure Crack Detector Device. [Internet] [Doctoral dissertation]. University of Kansas; 2014. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/1808/19573.

Council of Science Editors:

Elmore AM. Design, Development, and Modeling of a Compact, Field-Grade Civil Infrastructure Crack Detector Device. [Doctoral Dissertation]. University of Kansas; 2014. Available from: http://hdl.handle.net/1808/19573


University of Kansas

8. Farooq, Muhammad Shumail. An Approach to Bridge Inspection Using 3D Laser Scanners and Digital Photographs.

Degree: MS, Civil, Environmental & Architectural Engineering, 2017, University of Kansas

 Bridges are an integral component of infrastructure systems, which play a critical role in the development of the economy, society, and national security. However, bridges… (more)

Subjects/Keywords: Civil engineering; Transportation; Engineering; Bridge data collection; Bridge Inspection; Crack Detection; Crack Width; Laser Scanner

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APA (6th Edition):

Farooq, M. S. (2017). An Approach to Bridge Inspection Using 3D Laser Scanners and Digital Photographs. (Masters Thesis). University of Kansas. Retrieved from http://hdl.handle.net/1808/27798

Chicago Manual of Style (16th Edition):

Farooq, Muhammad Shumail. “An Approach to Bridge Inspection Using 3D Laser Scanners and Digital Photographs.” 2017. Masters Thesis, University of Kansas. Accessed October 21, 2019. http://hdl.handle.net/1808/27798.

MLA Handbook (7th Edition):

Farooq, Muhammad Shumail. “An Approach to Bridge Inspection Using 3D Laser Scanners and Digital Photographs.” 2017. Web. 21 Oct 2019.

Vancouver:

Farooq MS. An Approach to Bridge Inspection Using 3D Laser Scanners and Digital Photographs. [Internet] [Masters thesis]. University of Kansas; 2017. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/1808/27798.

Council of Science Editors:

Farooq MS. An Approach to Bridge Inspection Using 3D Laser Scanners and Digital Photographs. [Masters Thesis]. University of Kansas; 2017. Available from: http://hdl.handle.net/1808/27798


University of Central Florida

9. Mokhtari, Soroush. Analytical study of computer vision-based pavement crack quantification using machine learning techniques.

Degree: 2015, University of Central Florida

 Image-based techniques are a promising non-destructive approach for road pavement condition evaluation. The main objective of this study is to extract, quantify and evaluate important… (more)

Subjects/Keywords: Pavement crack; image processing; machine learning; automated crack detection; non destructive evaluation; Civil Engineering; Engineering

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APA (6th Edition):

Mokhtari, S. (2015). Analytical study of computer vision-based pavement crack quantification using machine learning techniques. (Doctoral Dissertation). University of Central Florida. Retrieved from https://stars.library.ucf.edu/etd/1156

Chicago Manual of Style (16th Edition):

Mokhtari, Soroush. “Analytical study of computer vision-based pavement crack quantification using machine learning techniques.” 2015. Doctoral Dissertation, University of Central Florida. Accessed October 21, 2019. https://stars.library.ucf.edu/etd/1156.

MLA Handbook (7th Edition):

Mokhtari, Soroush. “Analytical study of computer vision-based pavement crack quantification using machine learning techniques.” 2015. Web. 21 Oct 2019.

Vancouver:

Mokhtari S. Analytical study of computer vision-based pavement crack quantification using machine learning techniques. [Internet] [Doctoral dissertation]. University of Central Florida; 2015. [cited 2019 Oct 21]. Available from: https://stars.library.ucf.edu/etd/1156.

Council of Science Editors:

Mokhtari S. Analytical study of computer vision-based pavement crack quantification using machine learning techniques. [Doctoral Dissertation]. University of Central Florida; 2015. Available from: https://stars.library.ucf.edu/etd/1156


University of Manitoba

10. Ghanbari Mardasi, Amir. Numerical and experimental studies on the localization of a small crack with optimized spatial wavelet analysis and windowing.

Degree: Mechanical Engineering, 2017, University of Manitoba

 In this thesis, a high sensitive spatial wavelet-based crack localization technique is presented on a cracked beam structure. Due to the crack existence in the… (more)

Subjects/Keywords: Small crack detection; Crack localization; Spatial wavelet transformation; Optimization; Edge effect; Windowing

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APA (6th Edition):

Ghanbari Mardasi, A. (2017). Numerical and experimental studies on the localization of a small crack with optimized spatial wavelet analysis and windowing. (Masters Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/32359

Chicago Manual of Style (16th Edition):

Ghanbari Mardasi, Amir. “Numerical and experimental studies on the localization of a small crack with optimized spatial wavelet analysis and windowing.” 2017. Masters Thesis, University of Manitoba. Accessed October 21, 2019. http://hdl.handle.net/1993/32359.

MLA Handbook (7th Edition):

Ghanbari Mardasi, Amir. “Numerical and experimental studies on the localization of a small crack with optimized spatial wavelet analysis and windowing.” 2017. Web. 21 Oct 2019.

Vancouver:

Ghanbari Mardasi A. Numerical and experimental studies on the localization of a small crack with optimized spatial wavelet analysis and windowing. [Internet] [Masters thesis]. University of Manitoba; 2017. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/1993/32359.

Council of Science Editors:

Ghanbari Mardasi A. Numerical and experimental studies on the localization of a small crack with optimized spatial wavelet analysis and windowing. [Masters Thesis]. University of Manitoba; 2017. Available from: http://hdl.handle.net/1993/32359

11. Chen, Xin. Load-enhanced lamb wave methods for the in situ detection, localization and characterization of damage.

Degree: PhD, Electrical and Computer Engineering, 2015, Georgia Tech

 A load-enhanced methodology has been proposed to enable the in situ detection, localization, and characterization of damage in metallic plate-like structures using Lamb waves. A… (more)

Subjects/Keywords: Lamb waves; Scattering; Sparse sensor array; Load-enhanced method; Crack detection; Crack localization; Crack characterization; Complex components; Laser vibrometry

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APA (6th Edition):

Chen, X. (2015). Load-enhanced lamb wave methods for the in situ detection, localization and characterization of damage. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54859

Chicago Manual of Style (16th Edition):

Chen, Xin. “Load-enhanced lamb wave methods for the in situ detection, localization and characterization of damage.” 2015. Doctoral Dissertation, Georgia Tech. Accessed October 21, 2019. http://hdl.handle.net/1853/54859.

MLA Handbook (7th Edition):

Chen, Xin. “Load-enhanced lamb wave methods for the in situ detection, localization and characterization of damage.” 2015. Web. 21 Oct 2019.

Vancouver:

Chen X. Load-enhanced lamb wave methods for the in situ detection, localization and characterization of damage. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/1853/54859.

Council of Science Editors:

Chen X. Load-enhanced lamb wave methods for the in situ detection, localization and characterization of damage. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/54859


University of Southern California

12. Jahanshahi, Mohammad Reza. Vision-based studies for structural health monitoring and condition assesment.

Degree: PhD, Civil Engineering, 2013, University of Southern California

 Automated health monitoring and maintenance of civil infrastructure systems is an active yet challenging area of research. Current structure inspection standards require an inspector to… (more)

Subjects/Keywords: structural health monitoring; civil infrastructure systems; condition assessment; image processing; computer vision; pattern recognition; inspection tool; crack detection, crack quantification; corrosion detection; defect detection; change detection

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APA (6th Edition):

Jahanshahi, M. R. (2013). Vision-based studies for structural health monitoring and condition assesment. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/617318/rec/7831

Chicago Manual of Style (16th Edition):

Jahanshahi, Mohammad Reza. “Vision-based studies for structural health monitoring and condition assesment.” 2013. Doctoral Dissertation, University of Southern California. Accessed October 21, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/617318/rec/7831.

MLA Handbook (7th Edition):

Jahanshahi, Mohammad Reza. “Vision-based studies for structural health monitoring and condition assesment.” 2013. Web. 21 Oct 2019.

Vancouver:

Jahanshahi MR. Vision-based studies for structural health monitoring and condition assesment. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2019 Oct 21]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/617318/rec/7831.

Council of Science Editors:

Jahanshahi MR. Vision-based studies for structural health monitoring and condition assesment. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/617318/rec/7831

13. Liang, Xihui. Dynamics Based Vibration Signal Modeling and Fault Detection of Planetary Gearboxes.

Degree: PhD, Department of Mechanical Engineering, 2016, University of Alberta

 Vibration analysis has been widely used to detect gear tooth fault inside a planetary gearbox. However, the vibration characteristics of a planetary gearbox are very… (more)

Subjects/Keywords: crack modeling; fault detection; mesh stiffness; gearbox; vibration analysis; gooth fault

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APA (6th Edition):

Liang, X. (2016). Dynamics Based Vibration Signal Modeling and Fault Detection of Planetary Gearboxes. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/c6q182k20j

Chicago Manual of Style (16th Edition):

Liang, Xihui. “Dynamics Based Vibration Signal Modeling and Fault Detection of Planetary Gearboxes.” 2016. Doctoral Dissertation, University of Alberta. Accessed October 21, 2019. https://era.library.ualberta.ca/files/c6q182k20j.

MLA Handbook (7th Edition):

Liang, Xihui. “Dynamics Based Vibration Signal Modeling and Fault Detection of Planetary Gearboxes.” 2016. Web. 21 Oct 2019.

Vancouver:

Liang X. Dynamics Based Vibration Signal Modeling and Fault Detection of Planetary Gearboxes. [Internet] [Doctoral dissertation]. University of Alberta; 2016. [cited 2019 Oct 21]. Available from: https://era.library.ualberta.ca/files/c6q182k20j.

Council of Science Editors:

Liang X. Dynamics Based Vibration Signal Modeling and Fault Detection of Planetary Gearboxes. [Doctoral Dissertation]. University of Alberta; 2016. Available from: https://era.library.ualberta.ca/files/c6q182k20j

14. Karlsson, Linus. Crack Detection in Welding Process using Acoustic Emission.

Degree: Design and Engineering, 2010, Mälardalen University

  Abstract: The process of inspecting welds done in production at Volvo Aero in Trollhättan is timeconsuming and a lot of this time goes into… (more)

Subjects/Keywords: Welding Acoustic Emission Crack Detection; Computer Sciences; Datavetenskap (datalogi)

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APA (6th Edition):

Karlsson, L. (2010). Crack Detection in Welding Process using Acoustic Emission. (Thesis). Mälardalen University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-9503

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):

Karlsson, Linus. “Crack Detection in Welding Process using Acoustic Emission.” 2010. Thesis, Mälardalen University. Accessed October 21, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-9503.

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

MLA Handbook (7th Edition):

Karlsson, Linus. “Crack Detection in Welding Process using Acoustic Emission.” 2010. Web. 21 Oct 2019.

Vancouver:

Karlsson L. Crack Detection in Welding Process using Acoustic Emission. [Internet] [Thesis]. Mälardalen University; 2010. [cited 2019 Oct 21]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-9503.

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

Council of Science Editors:

Karlsson L. Crack Detection in Welding Process using Acoustic Emission. [Thesis]. Mälardalen University; 2010. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-9503

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


Penn State University

15. Waller, Matthew David. Defect Growth Detection Potential Using Guided Waves.

Degree: MS, Engineering Mechanics, 2016, Penn State University

 Modern society relies on vast networks of infrastructure such as bridges, pipelines, railroads, and electric generating stations to name a few. Keeping infrastructure operating reliably… (more)

Subjects/Keywords: SHM; NDT; NDE; structural health monitoring; guided waves; ultrasonics; crack detection

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APA (6th Edition):

Waller, M. D. (2016). Defect Growth Detection Potential Using Guided Waves. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/t435gc96m

Chicago Manual of Style (16th Edition):

Waller, Matthew David. “Defect Growth Detection Potential Using Guided Waves.” 2016. Masters Thesis, Penn State University. Accessed October 21, 2019. https://etda.libraries.psu.edu/catalog/t435gc96m.

MLA Handbook (7th Edition):

Waller, Matthew David. “Defect Growth Detection Potential Using Guided Waves.” 2016. Web. 21 Oct 2019.

Vancouver:

Waller MD. Defect Growth Detection Potential Using Guided Waves. [Internet] [Masters thesis]. Penn State University; 2016. [cited 2019 Oct 21]. Available from: https://etda.libraries.psu.edu/catalog/t435gc96m.

Council of Science Editors:

Waller MD. Defect Growth Detection Potential Using Guided Waves. [Masters Thesis]. Penn State University; 2016. Available from: https://etda.libraries.psu.edu/catalog/t435gc96m


University of Surrey

16. Haywood, Nicholas Charles. Eddy-current imaging of cracks by inverting field data.

Degree: PhD, 1990, University of Surrey

 Non-destructive evaluation is concerned with the detection and characterisation of flaws. In eddy-current inspection, measurements of the electro-magnetic field are made at the surface of… (more)

Subjects/Keywords: 530.41; Crack detection in metals

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APA (6th Edition):

Haywood, N. C. (1990). Eddy-current imaging of cracks by inverting field data. (Doctoral Dissertation). University of Surrey. Retrieved from http://epubs.surrey.ac.uk/843519/ ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.277398

Chicago Manual of Style (16th Edition):

Haywood, Nicholas Charles. “Eddy-current imaging of cracks by inverting field data.” 1990. Doctoral Dissertation, University of Surrey. Accessed October 21, 2019. http://epubs.surrey.ac.uk/843519/ ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.277398.

MLA Handbook (7th Edition):

Haywood, Nicholas Charles. “Eddy-current imaging of cracks by inverting field data.” 1990. Web. 21 Oct 2019.

Vancouver:

Haywood NC. Eddy-current imaging of cracks by inverting field data. [Internet] [Doctoral dissertation]. University of Surrey; 1990. [cited 2019 Oct 21]. Available from: http://epubs.surrey.ac.uk/843519/ ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.277398.

Council of Science Editors:

Haywood NC. Eddy-current imaging of cracks by inverting field data. [Doctoral Dissertation]. University of Surrey; 1990. Available from: http://epubs.surrey.ac.uk/843519/ ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.277398


KTH

17. Some, Liene. Automatic image-based road crack detection methods.

Degree: Geodesy and Satellite Positioning, 2016, KTH

  Pavement crack detection is an important procedure in road maintenanceand traffic safety. Traditionally, the road inventory was performed by field inspection, now it is… (more)

Subjects/Keywords: Road cracks; Crack detection; Mobile mapping; Deep learning; CrackIT; Caffe

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

APA (6th Edition):

Some, L. (2016). Automatic image-based road crack detection methods. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189245

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):

Some, Liene. “Automatic image-based road crack detection methods.” 2016. Thesis, KTH. Accessed October 21, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189245.

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

MLA Handbook (7th Edition):

Some, Liene. “Automatic image-based road crack detection methods.” 2016. Web. 21 Oct 2019.

Vancouver:

Some L. Automatic image-based road crack detection methods. [Internet] [Thesis]. KTH; 2016. [cited 2019 Oct 21]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189245.

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

Council of Science Editors:

Some L. Automatic image-based road crack detection methods. [Thesis]. KTH; 2016. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189245

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


Iowa State University

18. Fnu, Abhimanu. A Novel Bridge Information Modeling (BrIM) Based Framework for Bridge Inspections.

Degree: 2016, Iowa State University

 Bridges are critical components of civil infrastructure. According to the National Bridge Inventory (NBI), there are more than ten thousand structurally deficient bridges in the… (more)

Subjects/Keywords: BIM; BrIM; Concrete; Crack detection; Data Integration; Civil Engineering

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

APA (6th Edition):

Fnu, A. (2016). A Novel Bridge Information Modeling (BrIM) Based Framework for Bridge Inspections. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/16581

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):

Fnu, Abhimanu. “A Novel Bridge Information Modeling (BrIM) Based Framework for Bridge Inspections.” 2016. Thesis, Iowa State University. Accessed October 21, 2019. https://lib.dr.iastate.edu/etd/16581.

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

MLA Handbook (7th Edition):

Fnu, Abhimanu. “A Novel Bridge Information Modeling (BrIM) Based Framework for Bridge Inspections.” 2016. Web. 21 Oct 2019.

Vancouver:

Fnu A. A Novel Bridge Information Modeling (BrIM) Based Framework for Bridge Inspections. [Internet] [Thesis]. Iowa State University; 2016. [cited 2019 Oct 21]. Available from: https://lib.dr.iastate.edu/etd/16581.

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

Council of Science Editors:

Fnu A. A Novel Bridge Information Modeling (BrIM) Based Framework for Bridge Inspections. [Thesis]. Iowa State University; 2016. Available from: https://lib.dr.iastate.edu/etd/16581

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


University of Manitoba

19. Raeisi Mehdiabadi, Farnaz. Monitoring and detection of cracks in steel girders of bridges using a distributed binary crack sensor.

Degree: Civil Engineering, 2018, University of Manitoba

 Bridges are key elements in transportation system. One of the critical deficiencies in aging bridges is formation and propagation of small cracks under cyclic loading.… (more)

Subjects/Keywords: Structural Health Monitoring,; Crack detection,; Steel girders,; Finite Elmenet Analysis

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

APA (6th Edition):

Raeisi Mehdiabadi, F. (2018). Monitoring and detection of cracks in steel girders of bridges using a distributed binary crack sensor. (Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/33559

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):

Raeisi Mehdiabadi, Farnaz. “Monitoring and detection of cracks in steel girders of bridges using a distributed binary crack sensor.” 2018. Thesis, University of Manitoba. Accessed October 21, 2019. http://hdl.handle.net/1993/33559.

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

MLA Handbook (7th Edition):

Raeisi Mehdiabadi, Farnaz. “Monitoring and detection of cracks in steel girders of bridges using a distributed binary crack sensor.” 2018. Web. 21 Oct 2019.

Vancouver:

Raeisi Mehdiabadi F. Monitoring and detection of cracks in steel girders of bridges using a distributed binary crack sensor. [Internet] [Thesis]. University of Manitoba; 2018. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/1993/33559.

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

Council of Science Editors:

Raeisi Mehdiabadi F. Monitoring and detection of cracks in steel girders of bridges using a distributed binary crack sensor. [Thesis]. University of Manitoba; 2018. Available from: http://hdl.handle.net/1993/33559

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


University of Iowa

20. Schallhorn, Charles Joseph. Coherence-based transmissibility as a damage indicator for highway bridges.

Degree: PhD, Civil and Environmental Engineering, 2015, University of Iowa

  Vibration-based damage detection methods are used in structural applications to identify the global dynamic response of the system. The purpose of the work presented… (more)

Subjects/Keywords: publicabstract; Algorithm; Coherence; Crack; Damage Detection; Vibration; Civil and Environmental Engineering

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

APA (6th Edition):

Schallhorn, C. J. (2015). Coherence-based transmissibility as a damage indicator for highway bridges. (Doctoral Dissertation). University of Iowa. Retrieved from https://ir.uiowa.edu/etd/2007

Chicago Manual of Style (16th Edition):

Schallhorn, Charles Joseph. “Coherence-based transmissibility as a damage indicator for highway bridges.” 2015. Doctoral Dissertation, University of Iowa. Accessed October 21, 2019. https://ir.uiowa.edu/etd/2007.

MLA Handbook (7th Edition):

Schallhorn, Charles Joseph. “Coherence-based transmissibility as a damage indicator for highway bridges.” 2015. Web. 21 Oct 2019.

Vancouver:

Schallhorn CJ. Coherence-based transmissibility as a damage indicator for highway bridges. [Internet] [Doctoral dissertation]. University of Iowa; 2015. [cited 2019 Oct 21]. Available from: https://ir.uiowa.edu/etd/2007.

Council of Science Editors:

Schallhorn CJ. Coherence-based transmissibility as a damage indicator for highway bridges. [Doctoral Dissertation]. University of Iowa; 2015. Available from: https://ir.uiowa.edu/etd/2007


University of Waterloo

21. Huyan, Ju. Development of Machine Learning Based Analytical Tools for Pavement Performance Assessment and Crack Detection.

Degree: 2019, University of Waterloo

 Pavement Management System (PMS) analytical tools mainly consist of pavement condition investigation and evaluation tools, pavement condition rating and assessment tools, pavement performance prediction tools,… (more)

Subjects/Keywords: pavement performance assessment; pavement surface crack detection; machine learning; deep learning

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

APA (6th Edition):

Huyan, J. (2019). Development of Machine Learning Based Analytical Tools for Pavement Performance Assessment and Crack Detection. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/14905

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):

Huyan, Ju. “Development of Machine Learning Based Analytical Tools for Pavement Performance Assessment and Crack Detection.” 2019. Thesis, University of Waterloo. Accessed October 21, 2019. http://hdl.handle.net/10012/14905.

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

MLA Handbook (7th Edition):

Huyan, Ju. “Development of Machine Learning Based Analytical Tools for Pavement Performance Assessment and Crack Detection.” 2019. Web. 21 Oct 2019.

Vancouver:

Huyan J. Development of Machine Learning Based Analytical Tools for Pavement Performance Assessment and Crack Detection. [Internet] [Thesis]. University of Waterloo; 2019. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/10012/14905.

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

Council of Science Editors:

Huyan J. Development of Machine Learning Based Analytical Tools for Pavement Performance Assessment and Crack Detection. [Thesis]. University of Waterloo; 2019. Available from: http://hdl.handle.net/10012/14905

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


Utah State University

22. Zhang, Kaige. Deep Learning for Crack-Like Object Detection.

Degree: PhD, Computer Science, 2019, Utah State University

  Cracks are common defects on surfaces of man-made structures such as pavements, bridges, walls of nuclear power plants, ceilings of tunnels, etc. Timely discovering… (more)

Subjects/Keywords: deep learning; generative adversarial networks; crack detection; Computer Sciences

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

APA (6th Edition):

Zhang, K. (2019). Deep Learning for Crack-Like Object Detection. (Doctoral Dissertation). Utah State University. Retrieved from https://digitalcommons.usu.edu/etd/7616

Chicago Manual of Style (16th Edition):

Zhang, Kaige. “Deep Learning for Crack-Like Object Detection.” 2019. Doctoral Dissertation, Utah State University. Accessed October 21, 2019. https://digitalcommons.usu.edu/etd/7616.

MLA Handbook (7th Edition):

Zhang, Kaige. “Deep Learning for Crack-Like Object Detection.” 2019. Web. 21 Oct 2019.

Vancouver:

Zhang K. Deep Learning for Crack-Like Object Detection. [Internet] [Doctoral dissertation]. Utah State University; 2019. [cited 2019 Oct 21]. Available from: https://digitalcommons.usu.edu/etd/7616.

Council of Science Editors:

Zhang K. Deep Learning for Crack-Like Object Detection. [Doctoral Dissertation]. Utah State University; 2019. Available from: https://digitalcommons.usu.edu/etd/7616


Cleveland State University

23. Storozhev, Dmitry Leonidovich. Smart Rotating Machines for Structural Health Monitoring.

Degree: MSin Mechanical Engineering, Fenn College of Engineering, 2009, Cleveland State University

 The objective of this thesis is to explore an innovative approach to the on-line health monitoring of rotating machinery in the presence of structural damage… (more)

Subjects/Keywords: Electromagnetism; Engineering; Mechanical Engineering; Rotating Machines; Rotor; Crack; Breathing Crack; Damage Detection; AMBs; Conical Active Magnetic Bearings; Vibration Spectrum

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

APA (6th Edition):

Storozhev, D. L. (2009). Smart Rotating Machines for Structural Health Monitoring. (Masters Thesis). Cleveland State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=csu1262724991

Chicago Manual of Style (16th Edition):

Storozhev, Dmitry Leonidovich. “Smart Rotating Machines for Structural Health Monitoring.” 2009. Masters Thesis, Cleveland State University. Accessed October 21, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=csu1262724991.

MLA Handbook (7th Edition):

Storozhev, Dmitry Leonidovich. “Smart Rotating Machines for Structural Health Monitoring.” 2009. Web. 21 Oct 2019.

Vancouver:

Storozhev DL. Smart Rotating Machines for Structural Health Monitoring. [Internet] [Masters thesis]. Cleveland State University; 2009. [cited 2019 Oct 21]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=csu1262724991.

Council of Science Editors:

Storozhev DL. Smart Rotating Machines for Structural Health Monitoring. [Masters Thesis]. Cleveland State University; 2009. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=csu1262724991


Case Western Reserve University

24. Boonyaprapasorn, Arsit. FAULT DETECTION AND DIAGNOSIS PROCESS FOR CRACKED ROTOR VIBRATION SYSTEMS USING MODEL-BASED APPROACH.

Degree: PhD, EMC - Mechanical Engineering, 2009, Case Western Reserve University

  In this research, the fault detection and diagnosis using a model-based technique for the cracked rotor vibration system is developed and implemented. More specifically,… (more)

Subjects/Keywords: Mechanical Engineering; detection; diagnosis; cracked rotor; fault; vibration; rotating machinery; cracked shaft; cracked rotor vibration system; crack detection; crack localization; fracutre mechanic; model based

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

APA (6th Edition):

Boonyaprapasorn, A. (2009). FAULT DETECTION AND DIAGNOSIS PROCESS FOR CRACKED ROTOR VIBRATION SYSTEMS USING MODEL-BASED APPROACH. (Doctoral Dissertation). Case Western Reserve University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=case1238469531

Chicago Manual of Style (16th Edition):

Boonyaprapasorn, Arsit. “FAULT DETECTION AND DIAGNOSIS PROCESS FOR CRACKED ROTOR VIBRATION SYSTEMS USING MODEL-BASED APPROACH.” 2009. Doctoral Dissertation, Case Western Reserve University. Accessed October 21, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=case1238469531.

MLA Handbook (7th Edition):

Boonyaprapasorn, Arsit. “FAULT DETECTION AND DIAGNOSIS PROCESS FOR CRACKED ROTOR VIBRATION SYSTEMS USING MODEL-BASED APPROACH.” 2009. Web. 21 Oct 2019.

Vancouver:

Boonyaprapasorn A. FAULT DETECTION AND DIAGNOSIS PROCESS FOR CRACKED ROTOR VIBRATION SYSTEMS USING MODEL-BASED APPROACH. [Internet] [Doctoral dissertation]. Case Western Reserve University; 2009. [cited 2019 Oct 21]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1238469531.

Council of Science Editors:

Boonyaprapasorn A. FAULT DETECTION AND DIAGNOSIS PROCESS FOR CRACKED ROTOR VIBRATION SYSTEMS USING MODEL-BASED APPROACH. [Doctoral Dissertation]. Case Western Reserve University; 2009. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1238469531


University of Manchester

25. Asnaashari, Erfan. Vibration-based damage detection in structures.

Degree: PhD, 2014, University of Manchester

 Structural health monitoring systems have a great potential for cost saving and safety improvement in different types of structures. One of the most important tasks… (more)

Subjects/Keywords: 621.382; Damage Detection; Crack Breathing; Finite Element; Residual Operational Deflection Shape; Deviation from Normal Distribution

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

APA (6th Edition):

Asnaashari, E. (2014). Vibration-based damage detection in structures. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/vibrationbased-damage-detection-in-structures(09061582-55fb-4fba-846e-2156dd4ef172).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.668545

Chicago Manual of Style (16th Edition):

Asnaashari, Erfan. “Vibration-based damage detection in structures.” 2014. Doctoral Dissertation, University of Manchester. Accessed October 21, 2019. https://www.research.manchester.ac.uk/portal/en/theses/vibrationbased-damage-detection-in-structures(09061582-55fb-4fba-846e-2156dd4ef172).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.668545.

MLA Handbook (7th Edition):

Asnaashari, Erfan. “Vibration-based damage detection in structures.” 2014. Web. 21 Oct 2019.

Vancouver:

Asnaashari E. Vibration-based damage detection in structures. [Internet] [Doctoral dissertation]. University of Manchester; 2014. [cited 2019 Oct 21]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/vibrationbased-damage-detection-in-structures(09061582-55fb-4fba-846e-2156dd4ef172).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.668545.

Council of Science Editors:

Asnaashari E. Vibration-based damage detection in structures. [Doctoral Dissertation]. University of Manchester; 2014. Available from: https://www.research.manchester.ac.uk/portal/en/theses/vibrationbased-damage-detection-in-structures(09061582-55fb-4fba-846e-2156dd4ef172).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.668545


University of Illinois – Chicago

26. Meng, Dewei. Investigations in Crack Detection and Monitoring Based on PPP-BOTDA Distributed Sensing Technology.

Degree: 2016, University of Illinois – Chicago

 Cracking is a common phenomenon in the structural members experiencing aging and deterioration problems. Structural health monitoring (SHM) based on crack detection and monitoring plays… (more)

Subjects/Keywords: crack detection and monitoring; distributed sensing; PPP-BOTDA; numerical simulation; experimental test; BGS; BFS; BGSWD.

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

APA (6th Edition):

Meng, D. (2016). Investigations in Crack Detection and Monitoring Based on PPP-BOTDA Distributed Sensing Technology. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/20900

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):

Meng, Dewei. “Investigations in Crack Detection and Monitoring Based on PPP-BOTDA Distributed Sensing Technology.” 2016. Thesis, University of Illinois – Chicago. Accessed October 21, 2019. http://hdl.handle.net/10027/20900.

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

MLA Handbook (7th Edition):

Meng, Dewei. “Investigations in Crack Detection and Monitoring Based on PPP-BOTDA Distributed Sensing Technology.” 2016. Web. 21 Oct 2019.

Vancouver:

Meng D. Investigations in Crack Detection and Monitoring Based on PPP-BOTDA Distributed Sensing Technology. [Internet] [Thesis]. University of Illinois – Chicago; 2016. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/10027/20900.

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

Council of Science Editors:

Meng D. Investigations in Crack Detection and Monitoring Based on PPP-BOTDA Distributed Sensing Technology. [Thesis]. University of Illinois – Chicago; 2016. Available from: http://hdl.handle.net/10027/20900

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


University of Manchester

27. Asnaashari, Erfan. Vibration-based Damage Detection in Structures.

Degree: 2014, University of Manchester

 Structural health monitoring systems have a great potential for cost saving and safety improvement in different types of structures. One of the most important tasks… (more)

Subjects/Keywords: Damage Detection; Crack Breathing; Finite Element; Residual Operational Deflection Shape; Deviation from Normal Distribution

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

APA (6th Edition):

Asnaashari, E. (2014). Vibration-based Damage Detection in Structures. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:233285

Chicago Manual of Style (16th Edition):

Asnaashari, Erfan. “Vibration-based Damage Detection in Structures.” 2014. Doctoral Dissertation, University of Manchester. Accessed October 21, 2019. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:233285.

MLA Handbook (7th Edition):

Asnaashari, Erfan. “Vibration-based Damage Detection in Structures.” 2014. Web. 21 Oct 2019.

Vancouver:

Asnaashari E. Vibration-based Damage Detection in Structures. [Internet] [Doctoral dissertation]. University of Manchester; 2014. [cited 2019 Oct 21]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:233285.

Council of Science Editors:

Asnaashari E. Vibration-based Damage Detection in Structures. [Doctoral Dissertation]. University of Manchester; 2014. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:233285


Virginia Tech

28. Torok, Matthew M. Autonomous Sample Collection Using Image-Based 3D Reconstructions.

Degree: MS, Mechanical Engineering, 2012, Virginia Tech

 Sample collection is a common task for mobile robots and there are a variety of manipulators available to perform this operation. This thesis presents a… (more)

Subjects/Keywords: Building Crack Detection; Autonomous Sample Collection; Image-based 3D Reconstruction; Scoops; Robotics

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

APA (6th Edition):

Torok, M. M. (2012). Autonomous Sample Collection Using Image-Based 3D Reconstructions. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/32163

Chicago Manual of Style (16th Edition):

Torok, Matthew M. “Autonomous Sample Collection Using Image-Based 3D Reconstructions.” 2012. Masters Thesis, Virginia Tech. Accessed October 21, 2019. http://hdl.handle.net/10919/32163.

MLA Handbook (7th Edition):

Torok, Matthew M. “Autonomous Sample Collection Using Image-Based 3D Reconstructions.” 2012. Web. 21 Oct 2019.

Vancouver:

Torok MM. Autonomous Sample Collection Using Image-Based 3D Reconstructions. [Internet] [Masters thesis]. Virginia Tech; 2012. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/10919/32163.

Council of Science Editors:

Torok MM. Autonomous Sample Collection Using Image-Based 3D Reconstructions. [Masters Thesis]. Virginia Tech; 2012. Available from: http://hdl.handle.net/10919/32163


Kansas State University

29. Radhakrishnan, Anirudh. Automated pavement condition analysis based on AASHTO guidelines.

Degree: MS, Department of Electrical and Computer Engineering, 2009, Kansas State University

 In this thesis, we present an automated system for detection and classification of cracks, based on the new standard proposed by `American Association of State… (more)

Subjects/Keywords: image processing; AASHTO; PCA; crack detection; road; line detect; Computer Science (0984); Engineering, General (0537)

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

APA (6th Edition):

Radhakrishnan, A. (2009). Automated pavement condition analysis based on AASHTO guidelines. (Masters Thesis). Kansas State University. Retrieved from http://hdl.handle.net/2097/1920

Chicago Manual of Style (16th Edition):

Radhakrishnan, Anirudh. “Automated pavement condition analysis based on AASHTO guidelines.” 2009. Masters Thesis, Kansas State University. Accessed October 21, 2019. http://hdl.handle.net/2097/1920.

MLA Handbook (7th Edition):

Radhakrishnan, Anirudh. “Automated pavement condition analysis based on AASHTO guidelines.” 2009. Web. 21 Oct 2019.

Vancouver:

Radhakrishnan A. Automated pavement condition analysis based on AASHTO guidelines. [Internet] [Masters thesis]. Kansas State University; 2009. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/2097/1920.

Council of Science Editors:

Radhakrishnan A. Automated pavement condition analysis based on AASHTO guidelines. [Masters Thesis]. Kansas State University; 2009. Available from: http://hdl.handle.net/2097/1920


Virginia Tech

30. Lama Salomon, Abraham. Digital State Models for Infrastructure Condition Assessment and Structural Testing.

Degree: PhD, Civil and Environmental Engineering, 2017, Virginia Tech

 This research introduces and applies the concept of digital state models for civil infrastructure condition assessment and structural testing. Digital state models are defined herein… (more)

Subjects/Keywords: Digital state model; Condition assessment; Non-contact measurement; Computer vision; Point cloud; Crack detection; Change detection; Corrosion resistant; Bridge

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

APA (6th Edition):

Lama Salomon, A. (2017). Digital State Models for Infrastructure Condition Assessment and Structural Testing. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/84502

Chicago Manual of Style (16th Edition):

Lama Salomon, Abraham. “Digital State Models for Infrastructure Condition Assessment and Structural Testing.” 2017. Doctoral Dissertation, Virginia Tech. Accessed October 21, 2019. http://hdl.handle.net/10919/84502.

MLA Handbook (7th Edition):

Lama Salomon, Abraham. “Digital State Models for Infrastructure Condition Assessment and Structural Testing.” 2017. Web. 21 Oct 2019.

Vancouver:

Lama Salomon A. Digital State Models for Infrastructure Condition Assessment and Structural Testing. [Internet] [Doctoral dissertation]. Virginia Tech; 2017. [cited 2019 Oct 21]. Available from: http://hdl.handle.net/10919/84502.

Council of Science Editors:

Lama Salomon A. Digital State Models for Infrastructure Condition Assessment and Structural Testing. [Doctoral Dissertation]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/84502

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