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You searched for subject:(Fault detection). Showing records 1 – 30 of 645 total matches.

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University of Alberta

1. Yang, Shuonan. Fault Detection Characterization, Design, and Reliability Analysis.

Degree: PhD, Department of Electrical and Computer Engineering, 2013, University of Alberta

 This thesis develops fault detection characterization, design, and reliability analysis within a real-time, multilayered fault detection and diagnosis (FDD) framework proposed according to fault tolerant… (more)

Subjects/Keywords: fault detection

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APA (6th Edition):

Yang, S. (2013). Fault Detection Characterization, Design, and Reliability Analysis. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/3n204044c

Chicago Manual of Style (16th Edition):

Yang, Shuonan. “Fault Detection Characterization, Design, and Reliability Analysis.” 2013. Doctoral Dissertation, University of Alberta. Accessed March 07, 2021. https://era.library.ualberta.ca/files/3n204044c.

MLA Handbook (7th Edition):

Yang, Shuonan. “Fault Detection Characterization, Design, and Reliability Analysis.” 2013. Web. 07 Mar 2021.

Vancouver:

Yang S. Fault Detection Characterization, Design, and Reliability Analysis. [Internet] [Doctoral dissertation]. University of Alberta; 2013. [cited 2021 Mar 07]. Available from: https://era.library.ualberta.ca/files/3n204044c.

Council of Science Editors:

Yang S. Fault Detection Characterization, Design, and Reliability Analysis. [Doctoral Dissertation]. University of Alberta; 2013. Available from: https://era.library.ualberta.ca/files/3n204044c


Texas A&M University

2. Bahadorinejad, Arghavan. Fault Detection and Diagnosis in Gene Regulatory Networks and Optimal Bayesian Classification of Metagenomic Data.

Degree: PhD, Electrical Engineering, 2017, Texas A&M University

 It is well known that the molecular basis of many diseases, particularly cancer, resides in the loss of regulatory power in critical genomic pathways due… (more)

Subjects/Keywords: Fault detection; Classification

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APA (6th Edition):

Bahadorinejad, A. (2017). Fault Detection and Diagnosis in Gene Regulatory Networks and Optimal Bayesian Classification of Metagenomic Data. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/161434

Chicago Manual of Style (16th Edition):

Bahadorinejad, Arghavan. “Fault Detection and Diagnosis in Gene Regulatory Networks and Optimal Bayesian Classification of Metagenomic Data.” 2017. Doctoral Dissertation, Texas A&M University. Accessed March 07, 2021. http://hdl.handle.net/1969.1/161434.

MLA Handbook (7th Edition):

Bahadorinejad, Arghavan. “Fault Detection and Diagnosis in Gene Regulatory Networks and Optimal Bayesian Classification of Metagenomic Data.” 2017. Web. 07 Mar 2021.

Vancouver:

Bahadorinejad A. Fault Detection and Diagnosis in Gene Regulatory Networks and Optimal Bayesian Classification of Metagenomic Data. [Internet] [Doctoral dissertation]. Texas A&M University; 2017. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1969.1/161434.

Council of Science Editors:

Bahadorinejad A. Fault Detection and Diagnosis in Gene Regulatory Networks and Optimal Bayesian Classification of Metagenomic Data. [Doctoral Dissertation]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/161434


University of Alberta

3. Zhao, Xiaomin. Data-Driven Fault Detection, Isolation and Identification of Rotating Machinery: with Applications to Pumps and Gearboxes.

Degree: PhD, Department of Mechanical Engineering, 2012, University of Alberta

Fault diagnosis plays an important role in the reliable operation of rotating machinery. Data-driven approaches for fault diagnosis rely purely on historical data. Depending on… (more)

Subjects/Keywords: Rotating Machinery; Fault Diagnosis; Fault Identification; Fault Detection; Fault Isolation

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APA (6th Edition):

Zhao, X. (2012). Data-Driven Fault Detection, Isolation and Identification of Rotating Machinery: with Applications to Pumps and Gearboxes. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/dn39x2256

Chicago Manual of Style (16th Edition):

Zhao, Xiaomin. “Data-Driven Fault Detection, Isolation and Identification of Rotating Machinery: with Applications to Pumps and Gearboxes.” 2012. Doctoral Dissertation, University of Alberta. Accessed March 07, 2021. https://era.library.ualberta.ca/files/dn39x2256.

MLA Handbook (7th Edition):

Zhao, Xiaomin. “Data-Driven Fault Detection, Isolation and Identification of Rotating Machinery: with Applications to Pumps and Gearboxes.” 2012. Web. 07 Mar 2021.

Vancouver:

Zhao X. Data-Driven Fault Detection, Isolation and Identification of Rotating Machinery: with Applications to Pumps and Gearboxes. [Internet] [Doctoral dissertation]. University of Alberta; 2012. [cited 2021 Mar 07]. Available from: https://era.library.ualberta.ca/files/dn39x2256.

Council of Science Editors:

Zhao X. Data-Driven Fault Detection, Isolation and Identification of Rotating Machinery: with Applications to Pumps and Gearboxes. [Doctoral Dissertation]. University of Alberta; 2012. Available from: https://era.library.ualberta.ca/files/dn39x2256


Queens University

4. Fernando, Heshan. Artificial Neural Networks for Fault Detection and Identification on an Automated Assembly Machine .

Degree: Mechanical and Materials Engineering, 2014, Queens University

 Artificial neural networks (ANNs) have been used in many fault detection and identification (FDI) applications due to their pattern recognition abilities. In this study, two… (more)

Subjects/Keywords: Artificial neural networks ; Fault identification ; Fault detection

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APA (6th Edition):

Fernando, H. (2014). Artificial Neural Networks for Fault Detection and Identification on an Automated Assembly Machine . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/12188

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):

Fernando, Heshan. “Artificial Neural Networks for Fault Detection and Identification on an Automated Assembly Machine .” 2014. Thesis, Queens University. Accessed March 07, 2021. http://hdl.handle.net/1974/12188.

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

MLA Handbook (7th Edition):

Fernando, Heshan. “Artificial Neural Networks for Fault Detection and Identification on an Automated Assembly Machine .” 2014. Web. 07 Mar 2021.

Vancouver:

Fernando H. Artificial Neural Networks for Fault Detection and Identification on an Automated Assembly Machine . [Internet] [Thesis]. Queens University; 2014. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1974/12188.

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

Council of Science Editors:

Fernando H. Artificial Neural Networks for Fault Detection and Identification on an Automated Assembly Machine . [Thesis]. Queens University; 2014. Available from: http://hdl.handle.net/1974/12188

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


Bucknell University

5. Dunbar, Joe. FPGA Based Design for Accelerated Fault-testing of Integrated Circuits.

Degree: 2010, Bucknell University

 In the past few decades, integrated circuits have become a major part of everyday life. Every circuit that is created needs to be tested for… (more)

Subjects/Keywords: FPGA; ATPG; Fault Detection; Parallel Fault Emulation

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APA (6th Edition):

Dunbar, J. (2010). FPGA Based Design for Accelerated Fault-testing of Integrated Circuits. (Thesis). Bucknell University. Retrieved from https://digitalcommons.bucknell.edu/masters_theses/28

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):

Dunbar, Joe. “FPGA Based Design for Accelerated Fault-testing of Integrated Circuits.” 2010. Thesis, Bucknell University. Accessed March 07, 2021. https://digitalcommons.bucknell.edu/masters_theses/28.

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

MLA Handbook (7th Edition):

Dunbar, Joe. “FPGA Based Design for Accelerated Fault-testing of Integrated Circuits.” 2010. Web. 07 Mar 2021.

Vancouver:

Dunbar J. FPGA Based Design for Accelerated Fault-testing of Integrated Circuits. [Internet] [Thesis]. Bucknell University; 2010. [cited 2021 Mar 07]. Available from: https://digitalcommons.bucknell.edu/masters_theses/28.

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

Council of Science Editors:

Dunbar J. FPGA Based Design for Accelerated Fault-testing of Integrated Circuits. [Thesis]. Bucknell University; 2010. Available from: https://digitalcommons.bucknell.edu/masters_theses/28

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


University of New South Wales

6. Lei, Qingyang. Dissipativity Based Fault Detection and Diagnosis for Process Systems.

Degree: Chemical Engineering, 2018, University of New South Wales

 Modern industrial processes are often operated close to the design constraints, and this can make the plants susceptible to faults. Failures in process components can… (more)

Subjects/Keywords: Dissipaitivty; Fault Detection; Fault Diagnosis; QdF; LMI

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APA (6th Edition):

Lei, Q. (2018). Dissipativity Based Fault Detection and Diagnosis for Process Systems. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/59513 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:48814/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Lei, Qingyang. “Dissipativity Based Fault Detection and Diagnosis for Process Systems.” 2018. Doctoral Dissertation, University of New South Wales. Accessed March 07, 2021. http://handle.unsw.edu.au/1959.4/59513 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:48814/SOURCE02?view=true.

MLA Handbook (7th Edition):

Lei, Qingyang. “Dissipativity Based Fault Detection and Diagnosis for Process Systems.” 2018. Web. 07 Mar 2021.

Vancouver:

Lei Q. Dissipativity Based Fault Detection and Diagnosis for Process Systems. [Internet] [Doctoral dissertation]. University of New South Wales; 2018. [cited 2021 Mar 07]. Available from: http://handle.unsw.edu.au/1959.4/59513 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:48814/SOURCE02?view=true.

Council of Science Editors:

Lei Q. Dissipativity Based Fault Detection and Diagnosis for Process Systems. [Doctoral Dissertation]. University of New South Wales; 2018. Available from: http://handle.unsw.edu.au/1959.4/59513 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:48814/SOURCE02?view=true


Delft University of Technology

7. Gelmi, Samuele (author). Fault Detection Isolation and Recovery for LUMIO mission: Algorithm and Methodology.

Degree: 2019, Delft University of Technology

This Thesis presents the design and implementation of a preliminary Fault Detection Isolation and Recovery (FDIR) architecture for LUMIO, a CubeSat mission to the Moon.… (more)

Subjects/Keywords: Fault Detection; Fault Recovery; CubeSat; FMECA

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APA (6th Edition):

Gelmi, S. (. (2019). Fault Detection Isolation and Recovery for LUMIO mission: Algorithm and Methodology. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:7fd12ea7-b85e-4140-942e-0b9d52d4fa13

Chicago Manual of Style (16th Edition):

Gelmi, Samuele (author). “Fault Detection Isolation and Recovery for LUMIO mission: Algorithm and Methodology.” 2019. Masters Thesis, Delft University of Technology. Accessed March 07, 2021. http://resolver.tudelft.nl/uuid:7fd12ea7-b85e-4140-942e-0b9d52d4fa13.

MLA Handbook (7th Edition):

Gelmi, Samuele (author). “Fault Detection Isolation and Recovery for LUMIO mission: Algorithm and Methodology.” 2019. Web. 07 Mar 2021.

Vancouver:

Gelmi S(. Fault Detection Isolation and Recovery for LUMIO mission: Algorithm and Methodology. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Mar 07]. Available from: http://resolver.tudelft.nl/uuid:7fd12ea7-b85e-4140-942e-0b9d52d4fa13.

Council of Science Editors:

Gelmi S(. Fault Detection Isolation and Recovery for LUMIO mission: Algorithm and Methodology. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:7fd12ea7-b85e-4140-942e-0b9d52d4fa13


Rochester Institute of Technology

8. Craig, William S. Data Driven Approach to Non-stationary EMA Fault Detection and Investigation Into Remaining Useful Life.

Degree: MS, Mechanical Engineering, 2014, Rochester Institute of Technology

  Growing interest in using Electromechanical Actuators (EMAs) to replace current hydraulic actuation methods on aircraft control surfaces has driven significant research in the area… (more)

Subjects/Keywords: Electromechanical actuator; Fault detection; Wavelet

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APA (6th Edition):

Craig, W. S. (2014). Data Driven Approach to Non-stationary EMA Fault Detection and Investigation Into Remaining Useful Life. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/8586

Chicago Manual of Style (16th Edition):

Craig, William S. “Data Driven Approach to Non-stationary EMA Fault Detection and Investigation Into Remaining Useful Life.” 2014. Masters Thesis, Rochester Institute of Technology. Accessed March 07, 2021. https://scholarworks.rit.edu/theses/8586.

MLA Handbook (7th Edition):

Craig, William S. “Data Driven Approach to Non-stationary EMA Fault Detection and Investigation Into Remaining Useful Life.” 2014. Web. 07 Mar 2021.

Vancouver:

Craig WS. Data Driven Approach to Non-stationary EMA Fault Detection and Investigation Into Remaining Useful Life. [Internet] [Masters thesis]. Rochester Institute of Technology; 2014. [cited 2021 Mar 07]. Available from: https://scholarworks.rit.edu/theses/8586.

Council of Science Editors:

Craig WS. Data Driven Approach to Non-stationary EMA Fault Detection and Investigation Into Remaining Useful Life. [Masters Thesis]. Rochester Institute of Technology; 2014. Available from: https://scholarworks.rit.edu/theses/8586


University of Alberta

9. McDonald, Geoffrey Lyall. Vibration Signal-Based Fault Detection for Rotating Machines.

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

Fault detection in rotating machinery has applications in fields such as wind turbines and helicopter transmissions. Detecting and diagnosing faults is important to maintenance planning,… (more)

Subjects/Keywords: Fault detection; deconvolution; control systems

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APA (6th Edition):

McDonald, G. L. (2011). Vibration Signal-Based Fault Detection for Rotating Machines. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/sn00b0145

Chicago Manual of Style (16th Edition):

McDonald, Geoffrey Lyall. “Vibration Signal-Based Fault Detection for Rotating Machines.” 2011. Masters Thesis, University of Alberta. Accessed March 07, 2021. https://era.library.ualberta.ca/files/sn00b0145.

MLA Handbook (7th Edition):

McDonald, Geoffrey Lyall. “Vibration Signal-Based Fault Detection for Rotating Machines.” 2011. Web. 07 Mar 2021.

Vancouver:

McDonald GL. Vibration Signal-Based Fault Detection for Rotating Machines. [Internet] [Masters thesis]. University of Alberta; 2011. [cited 2021 Mar 07]. Available from: https://era.library.ualberta.ca/files/sn00b0145.

Council of Science Editors:

McDonald GL. Vibration Signal-Based Fault Detection for Rotating Machines. [Masters Thesis]. University of Alberta; 2011. Available from: https://era.library.ualberta.ca/files/sn00b0145


Texas A&M University

10. Li, Gang. Fast Generation of Machine Learning Models In Model-Based Fault Detection Systems.

Degree: PhD, Mechanical Engineering, 2018, Texas A&M University

 In model-based fault detection, processed input and output time-series data are used to generate models and then perform on-line predictions. Many practical considerations in model-based… (more)

Subjects/Keywords: Gaussian Process; Fault Detection

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APA (6th Edition):

Li, G. (2018). Fast Generation of Machine Learning Models In Model-Based Fault Detection Systems. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/174073

Chicago Manual of Style (16th Edition):

Li, Gang. “Fast Generation of Machine Learning Models In Model-Based Fault Detection Systems.” 2018. Doctoral Dissertation, Texas A&M University. Accessed March 07, 2021. http://hdl.handle.net/1969.1/174073.

MLA Handbook (7th Edition):

Li, Gang. “Fast Generation of Machine Learning Models In Model-Based Fault Detection Systems.” 2018. Web. 07 Mar 2021.

Vancouver:

Li G. Fast Generation of Machine Learning Models In Model-Based Fault Detection Systems. [Internet] [Doctoral dissertation]. Texas A&M University; 2018. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1969.1/174073.

Council of Science Editors:

Li G. Fast Generation of Machine Learning Models In Model-Based Fault Detection Systems. [Doctoral Dissertation]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/174073


University of California – Merced

11. Lincoln, Timothy Martin. System Level Fault Detection in Building HVAC Systems.

Degree: Mechanical Engineering, 2017, University of California – Merced

 Heating, ventilation and air conditioning (HVAC) is a mechanical system that provides thermal comfort and acceptable indoor air quality. The HVAC system takes a dominant… (more)

Subjects/Keywords: Mechanical engineering; Fault Detection; HVAC

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APA (6th Edition):

Lincoln, T. M. (2017). System Level Fault Detection in Building HVAC Systems. (Thesis). University of California – Merced. Retrieved from http://www.escholarship.org/uc/item/577180vn

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):

Lincoln, Timothy Martin. “System Level Fault Detection in Building HVAC Systems.” 2017. Thesis, University of California – Merced. Accessed March 07, 2021. http://www.escholarship.org/uc/item/577180vn.

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

MLA Handbook (7th Edition):

Lincoln, Timothy Martin. “System Level Fault Detection in Building HVAC Systems.” 2017. Web. 07 Mar 2021.

Vancouver:

Lincoln TM. System Level Fault Detection in Building HVAC Systems. [Internet] [Thesis]. University of California – Merced; 2017. [cited 2021 Mar 07]. Available from: http://www.escholarship.org/uc/item/577180vn.

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

Council of Science Editors:

Lincoln TM. System Level Fault Detection in Building HVAC Systems. [Thesis]. University of California – Merced; 2017. Available from: http://www.escholarship.org/uc/item/577180vn

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


Cranfield University

12. Vitanov, Ivan. Kernel-based fault diagnosis of inertial sensors using analytical redundancy.

Degree: PhD, 2017, Cranfield University

 Kernel methods are able to exploit high-dimensional spaces for representational advantage, while only operating implicitly in such spaces, thus incurring none of the computational cost… (more)

Subjects/Keywords: Fault detection; Signal processing

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APA (6th Edition):

Vitanov, I. (2017). Kernel-based fault diagnosis of inertial sensors using analytical redundancy. (Doctoral Dissertation). Cranfield University. Retrieved from http://dspace.lib.cranfield.ac.uk/handle/1826/12741 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.738628

Chicago Manual of Style (16th Edition):

Vitanov, Ivan. “Kernel-based fault diagnosis of inertial sensors using analytical redundancy.” 2017. Doctoral Dissertation, Cranfield University. Accessed March 07, 2021. http://dspace.lib.cranfield.ac.uk/handle/1826/12741 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.738628.

MLA Handbook (7th Edition):

Vitanov, Ivan. “Kernel-based fault diagnosis of inertial sensors using analytical redundancy.” 2017. Web. 07 Mar 2021.

Vancouver:

Vitanov I. Kernel-based fault diagnosis of inertial sensors using analytical redundancy. [Internet] [Doctoral dissertation]. Cranfield University; 2017. [cited 2021 Mar 07]. Available from: http://dspace.lib.cranfield.ac.uk/handle/1826/12741 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.738628.

Council of Science Editors:

Vitanov I. Kernel-based fault diagnosis of inertial sensors using analytical redundancy. [Doctoral Dissertation]. Cranfield University; 2017. Available from: http://dspace.lib.cranfield.ac.uk/handle/1826/12741 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.738628


Coventry University

13. Ersanilli, V. Automotive tyre fault detection.

Degree: PhD, 2015, Coventry University

 The focus of the work in this thesis is concerned with the investigation and development of indirect measurement techniques. The methodology adopted is a combination… (more)

Subjects/Keywords: 629.2; automotive; tyre fault detection

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APA (6th Edition):

Ersanilli, V. (2015). Automotive tyre fault detection. (Doctoral Dissertation). Coventry University. Retrieved from http://curve.coventry.ac.uk/open/items/77d0e8a8-9b9d-4535-b961-cab355f7e3ff/1 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.687760

Chicago Manual of Style (16th Edition):

Ersanilli, V. “Automotive tyre fault detection.” 2015. Doctoral Dissertation, Coventry University. Accessed March 07, 2021. http://curve.coventry.ac.uk/open/items/77d0e8a8-9b9d-4535-b961-cab355f7e3ff/1 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.687760.

MLA Handbook (7th Edition):

Ersanilli, V. “Automotive tyre fault detection.” 2015. Web. 07 Mar 2021.

Vancouver:

Ersanilli V. Automotive tyre fault detection. [Internet] [Doctoral dissertation]. Coventry University; 2015. [cited 2021 Mar 07]. Available from: http://curve.coventry.ac.uk/open/items/77d0e8a8-9b9d-4535-b961-cab355f7e3ff/1 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.687760.

Council of Science Editors:

Ersanilli V. Automotive tyre fault detection. [Doctoral Dissertation]. Coventry University; 2015. Available from: http://curve.coventry.ac.uk/open/items/77d0e8a8-9b9d-4535-b961-cab355f7e3ff/1 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.687760


Delft University of Technology

14. van Bruggen, Thomas (author). Mooring Line Failure Detection of a Single Point Mooring System: a Model-Based Approach.

Degree: 2018, Delft University of Technology

 Infant mortality is a significant problem in mooring design. The objective of this thesis is to design a generic fault detection system for mooring line… (more)

Subjects/Keywords: Fault Detection; CALM; SPM; UIO

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APA (6th Edition):

van Bruggen, T. (. (2018). Mooring Line Failure Detection of a Single Point Mooring System: a Model-Based Approach. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:2f29a2a1-a1ff-49c7-837f-1fe1bd46eb1e

Chicago Manual of Style (16th Edition):

van Bruggen, Thomas (author). “Mooring Line Failure Detection of a Single Point Mooring System: a Model-Based Approach.” 2018. Masters Thesis, Delft University of Technology. Accessed March 07, 2021. http://resolver.tudelft.nl/uuid:2f29a2a1-a1ff-49c7-837f-1fe1bd46eb1e.

MLA Handbook (7th Edition):

van Bruggen, Thomas (author). “Mooring Line Failure Detection of a Single Point Mooring System: a Model-Based Approach.” 2018. Web. 07 Mar 2021.

Vancouver:

van Bruggen T(. Mooring Line Failure Detection of a Single Point Mooring System: a Model-Based Approach. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Mar 07]. Available from: http://resolver.tudelft.nl/uuid:2f29a2a1-a1ff-49c7-837f-1fe1bd46eb1e.

Council of Science Editors:

van Bruggen T(. Mooring Line Failure Detection of a Single Point Mooring System: a Model-Based Approach. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:2f29a2a1-a1ff-49c7-837f-1fe1bd46eb1e


Delft University of Technology

15. Tombakaitė, Gabriele (author). Detecting Malicious Behavior In Cooperative Autonomous RC Cars.

Degree: 2020, Delft University of Technology

Sensors are used all around us in various industries, for instance: agricultural, medical,aerospace and automotive. It is important for these industries to have reliable sensor… (more)

Subjects/Keywords: CACC; Platooning; Fault detection

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APA (6th Edition):

Tombakaitė, G. (. (2020). Detecting Malicious Behavior In Cooperative Autonomous RC Cars. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:6da365dc-b3d0-4cc0-aa6e-347afcb958b0

Chicago Manual of Style (16th Edition):

Tombakaitė, Gabriele (author). “Detecting Malicious Behavior In Cooperative Autonomous RC Cars.” 2020. Masters Thesis, Delft University of Technology. Accessed March 07, 2021. http://resolver.tudelft.nl/uuid:6da365dc-b3d0-4cc0-aa6e-347afcb958b0.

MLA Handbook (7th Edition):

Tombakaitė, Gabriele (author). “Detecting Malicious Behavior In Cooperative Autonomous RC Cars.” 2020. Web. 07 Mar 2021.

Vancouver:

Tombakaitė G(. Detecting Malicious Behavior In Cooperative Autonomous RC Cars. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 Mar 07]. Available from: http://resolver.tudelft.nl/uuid:6da365dc-b3d0-4cc0-aa6e-347afcb958b0.

Council of Science Editors:

Tombakaitė G(. Detecting Malicious Behavior In Cooperative Autonomous RC Cars. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:6da365dc-b3d0-4cc0-aa6e-347afcb958b0


University of Windsor

16. Patel, Nikunj Rashmikant. Accelerated Testing of Bearings for High Speed Application.

Degree: MA, Mechanical, Automotive, and Materials Engineering, 2020, University of Windsor

 In this research thesis, a new method for accelerated lifetime testing (ALT) of high-speed bearings is discussed. The rapid development of products, and the longer… (more)

Subjects/Keywords: Accelerated; Bearing; Fault Detection; Testing

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

APA (6th Edition):

Patel, N. R. (2020). Accelerated Testing of Bearings for High Speed Application. (Masters Thesis). University of Windsor. Retrieved from https://scholar.uwindsor.ca/etd/8326

Chicago Manual of Style (16th Edition):

Patel, Nikunj Rashmikant. “Accelerated Testing of Bearings for High Speed Application.” 2020. Masters Thesis, University of Windsor. Accessed March 07, 2021. https://scholar.uwindsor.ca/etd/8326.

MLA Handbook (7th Edition):

Patel, Nikunj Rashmikant. “Accelerated Testing of Bearings for High Speed Application.” 2020. Web. 07 Mar 2021.

Vancouver:

Patel NR. Accelerated Testing of Bearings for High Speed Application. [Internet] [Masters thesis]. University of Windsor; 2020. [cited 2021 Mar 07]. Available from: https://scholar.uwindsor.ca/etd/8326.

Council of Science Editors:

Patel NR. Accelerated Testing of Bearings for High Speed Application. [Masters Thesis]. University of Windsor; 2020. Available from: https://scholar.uwindsor.ca/etd/8326


Cranfield University

17. Vitanov, Ivan V. Kernel-based fault diagnosis of inertial sensors using analytical redundancy.

Degree: 2017, Cranfield University

 Kernel methods are able to exploit high-dimensional spaces for representational advantage, while only operating implicitly in such spaces, thus incurring none of the computational cost… (more)

Subjects/Keywords: Fault detection; Signal processing

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APA (6th Edition):

Vitanov, I. V. (2017). Kernel-based fault diagnosis of inertial sensors using analytical redundancy. (Thesis). Cranfield University. Retrieved from http://dspace.lib.cranfield.ac.uk/handle/1826/12741

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):

Vitanov, Ivan V. “Kernel-based fault diagnosis of inertial sensors using analytical redundancy.” 2017. Thesis, Cranfield University. Accessed March 07, 2021. http://dspace.lib.cranfield.ac.uk/handle/1826/12741.

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

MLA Handbook (7th Edition):

Vitanov, Ivan V. “Kernel-based fault diagnosis of inertial sensors using analytical redundancy.” 2017. Web. 07 Mar 2021.

Vancouver:

Vitanov IV. Kernel-based fault diagnosis of inertial sensors using analytical redundancy. [Internet] [Thesis]. Cranfield University; 2017. [cited 2021 Mar 07]. Available from: http://dspace.lib.cranfield.ac.uk/handle/1826/12741.

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

Council of Science Editors:

Vitanov IV. Kernel-based fault diagnosis of inertial sensors using analytical redundancy. [Thesis]. Cranfield University; 2017. Available from: http://dspace.lib.cranfield.ac.uk/handle/1826/12741

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


Delft University of Technology

18. Ritsma, Folkert (author). Advanced Set Bounding Methods for Fault Detection.

Degree: 2019, Delft University of Technology

Performance of set based fault detection is highly dependent on the complexity of the set bounding methods used to bound the healthy residual set. Existing… (more)

Subjects/Keywords: Fault Detection; Machine Learning; Anomaly Detection; Outlier Detection; Support Vector Machines; Model Based Fault Detection; Set Based Fault Detection

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

APA (6th Edition):

Ritsma, F. (. (2019). Advanced Set Bounding Methods for Fault Detection. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:b6bad7a5-0afd-4268-873d-32a4a18b4281

Chicago Manual of Style (16th Edition):

Ritsma, Folkert (author). “Advanced Set Bounding Methods for Fault Detection.” 2019. Masters Thesis, Delft University of Technology. Accessed March 07, 2021. http://resolver.tudelft.nl/uuid:b6bad7a5-0afd-4268-873d-32a4a18b4281.

MLA Handbook (7th Edition):

Ritsma, Folkert (author). “Advanced Set Bounding Methods for Fault Detection.” 2019. Web. 07 Mar 2021.

Vancouver:

Ritsma F(. Advanced Set Bounding Methods for Fault Detection. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Mar 07]. Available from: http://resolver.tudelft.nl/uuid:b6bad7a5-0afd-4268-873d-32a4a18b4281.

Council of Science Editors:

Ritsma F(. Advanced Set Bounding Methods for Fault Detection. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:b6bad7a5-0afd-4268-873d-32a4a18b4281


University of Alberta

19. Sheng,Dian. H-Infinity Filtering Based Fault Detection, Estimation and Fault Tolerant Control.

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

 This thesis investigates the integrated fault detection, estimation and fault tolerant control problem for linear systems and Lipschitz nonlinear systems. Faults and disturbances are taken… (more)

Subjects/Keywords: Fault Detection; Fault Estimation; Fault Tolerant Control; LMI

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APA (6th Edition):

Sheng,Dian. (2016). H-Infinity Filtering Based Fault Detection, Estimation and Fault Tolerant Control. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/cz029p493n

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

Sheng,Dian. “H-Infinity Filtering Based Fault Detection, Estimation and Fault Tolerant Control.” 2016. Masters Thesis, University of Alberta. Accessed March 07, 2021. https://era.library.ualberta.ca/files/cz029p493n.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

Sheng,Dian. “H-Infinity Filtering Based Fault Detection, Estimation and Fault Tolerant Control.” 2016. Web. 07 Mar 2021.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

Sheng,Dian. H-Infinity Filtering Based Fault Detection, Estimation and Fault Tolerant Control. [Internet] [Masters thesis]. University of Alberta; 2016. [cited 2021 Mar 07]. Available from: https://era.library.ualberta.ca/files/cz029p493n.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

Sheng,Dian. H-Infinity Filtering Based Fault Detection, Estimation and Fault Tolerant Control. [Masters Thesis]. University of Alberta; 2016. Available from: https://era.library.ualberta.ca/files/cz029p493n

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


North-West University

20. Lucouw, Alexander. Distributed fault detection and diagnostics using artificial intelligence techniques / A. Lucouw .

Degree: 2009, North-West University

 With the advancement of automated control systems in the past few years, the focus has also been moved to safer, more reliable systems with less… (more)

Subjects/Keywords: Fault detection; Fault diagnostics; Artificial intelligence; Fault model bank; Robot

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

APA (6th Edition):

Lucouw, A. (2009). Distributed fault detection and diagnostics using artificial intelligence techniques / A. Lucouw . (Thesis). North-West University. Retrieved from http://hdl.handle.net/10394/4110

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):

Lucouw, Alexander. “Distributed fault detection and diagnostics using artificial intelligence techniques / A. Lucouw .” 2009. Thesis, North-West University. Accessed March 07, 2021. http://hdl.handle.net/10394/4110.

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

MLA Handbook (7th Edition):

Lucouw, Alexander. “Distributed fault detection and diagnostics using artificial intelligence techniques / A. Lucouw .” 2009. Web. 07 Mar 2021.

Vancouver:

Lucouw A. Distributed fault detection and diagnostics using artificial intelligence techniques / A. Lucouw . [Internet] [Thesis]. North-West University; 2009. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10394/4110.

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

Council of Science Editors:

Lucouw A. Distributed fault detection and diagnostics using artificial intelligence techniques / A. Lucouw . [Thesis]. North-West University; 2009. Available from: http://hdl.handle.net/10394/4110

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


Delft University of Technology

21. SHARMA, Sparsh (author). Fault Diagnosis of Neural Network Modelled Mechanical Systems using a Sparse Bayesian Learning Framework.

Degree: 2019, Delft University of Technology

The increasing complexity of mechanical systems has resulted in an increased usage and dependence on data driven modelling techniques in order to obtain simple yet… (more)

Subjects/Keywords: Fault Detection; Neural Networks; Sparse Bayesian Learning; Fault Isolation; Fault Identification

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

APA (6th Edition):

SHARMA, S. (. (2019). Fault Diagnosis of Neural Network Modelled Mechanical Systems using a Sparse Bayesian Learning Framework. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:1770c1de-51b4-4ab2-9819-68bbc66963a7

Chicago Manual of Style (16th Edition):

SHARMA, Sparsh (author). “Fault Diagnosis of Neural Network Modelled Mechanical Systems using a Sparse Bayesian Learning Framework.” 2019. Masters Thesis, Delft University of Technology. Accessed March 07, 2021. http://resolver.tudelft.nl/uuid:1770c1de-51b4-4ab2-9819-68bbc66963a7.

MLA Handbook (7th Edition):

SHARMA, Sparsh (author). “Fault Diagnosis of Neural Network Modelled Mechanical Systems using a Sparse Bayesian Learning Framework.” 2019. Web. 07 Mar 2021.

Vancouver:

SHARMA S(. Fault Diagnosis of Neural Network Modelled Mechanical Systems using a Sparse Bayesian Learning Framework. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Mar 07]. Available from: http://resolver.tudelft.nl/uuid:1770c1de-51b4-4ab2-9819-68bbc66963a7.

Council of Science Editors:

SHARMA S(. Fault Diagnosis of Neural Network Modelled Mechanical Systems using a Sparse Bayesian Learning Framework. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:1770c1de-51b4-4ab2-9819-68bbc66963a7

22. Espinosa García, Jaime. New Fault Detection, Mitigation and Injection Strategies for Current and Forthcoming Challenges of HW Embedded Designs .

Degree: 2016, Universitat Politècnica de València

 [EN] Relevance of electronics towards safety of common devices has only been growing, as an ever growing stake of the functionality is assigned to them.… (more)

Subjects/Keywords: Fault tolerance; Fault injection; Error detection; Fault mitigation; Fault recovery; Fugacious faults; FALLES; CODESH

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APA (6th Edition):

Espinosa García, J. (2016). New Fault Detection, Mitigation and Injection Strategies for Current and Forthcoming Challenges of HW Embedded Designs . (Doctoral Dissertation). Universitat Politècnica de València. Retrieved from http://hdl.handle.net/10251/73146

Chicago Manual of Style (16th Edition):

Espinosa García, Jaime. “New Fault Detection, Mitigation and Injection Strategies for Current and Forthcoming Challenges of HW Embedded Designs .” 2016. Doctoral Dissertation, Universitat Politècnica de València. Accessed March 07, 2021. http://hdl.handle.net/10251/73146.

MLA Handbook (7th Edition):

Espinosa García, Jaime. “New Fault Detection, Mitigation and Injection Strategies for Current and Forthcoming Challenges of HW Embedded Designs .” 2016. Web. 07 Mar 2021.

Vancouver:

Espinosa García J. New Fault Detection, Mitigation and Injection Strategies for Current and Forthcoming Challenges of HW Embedded Designs . [Internet] [Doctoral dissertation]. Universitat Politècnica de València; 2016. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10251/73146.

Council of Science Editors:

Espinosa García J. New Fault Detection, Mitigation and Injection Strategies for Current and Forthcoming Challenges of HW Embedded Designs . [Doctoral Dissertation]. Universitat Politècnica de València; 2016. Available from: http://hdl.handle.net/10251/73146


Rochester Institute of Technology

23. Sridhar, Rahulram. Electromechanical actuator bearing fault detection using empirically extracted features.

Degree: Mechanical Engineering, 2012, Rochester Institute of Technology

 Model parameter estimation when coupled with Principal Component Analysis (PCA) and Bayesian classification techniques form a potentially effective fault detection scheme for Electromechanical Actuators (EMAs).… (more)

Subjects/Keywords: Actuator; Bearing; Detection; Electromechanical; Fault; Feature

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

APA (6th Edition):

Sridhar, R. (2012). Electromechanical actuator bearing fault detection using empirically extracted features. (Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/5930

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):

Sridhar, Rahulram. “Electromechanical actuator bearing fault detection using empirically extracted features.” 2012. Thesis, Rochester Institute of Technology. Accessed March 07, 2021. https://scholarworks.rit.edu/theses/5930.

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

MLA Handbook (7th Edition):

Sridhar, Rahulram. “Electromechanical actuator bearing fault detection using empirically extracted features.” 2012. Web. 07 Mar 2021.

Vancouver:

Sridhar R. Electromechanical actuator bearing fault detection using empirically extracted features. [Internet] [Thesis]. Rochester Institute of Technology; 2012. [cited 2021 Mar 07]. Available from: https://scholarworks.rit.edu/theses/5930.

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

Council of Science Editors:

Sridhar R. Electromechanical actuator bearing fault detection using empirically extracted features. [Thesis]. Rochester Institute of Technology; 2012. Available from: https://scholarworks.rit.edu/theses/5930

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


Mississippi State University

24. Pandey, Abhishek. APPLICATION OF DIGITAL SIGNAL PROCESSING TO UNDERGROUND POWER CABLES FAULT DETECTION.

Degree: MS, Electrical and Computer Engineering, 2011, Mississippi State University

  Underground power cables encounter various problems caused by manufacturing defects and/or environmental contact. In keeping with the Smart Grid vision, researchers must develop diagnostic… (more)

Subjects/Keywords: Signal Processing; Underground Power cable; Fault detection

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

APA (6th Edition):

Pandey, A. (2011). APPLICATION OF DIGITAL SIGNAL PROCESSING TO UNDERGROUND POWER CABLES FAULT DETECTION. (Masters Thesis). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-07052011-130953/ ;

Chicago Manual of Style (16th Edition):

Pandey, Abhishek. “APPLICATION OF DIGITAL SIGNAL PROCESSING TO UNDERGROUND POWER CABLES FAULT DETECTION.” 2011. Masters Thesis, Mississippi State University. Accessed March 07, 2021. http://sun.library.msstate.edu/ETD-db/theses/available/etd-07052011-130953/ ;.

MLA Handbook (7th Edition):

Pandey, Abhishek. “APPLICATION OF DIGITAL SIGNAL PROCESSING TO UNDERGROUND POWER CABLES FAULT DETECTION.” 2011. Web. 07 Mar 2021.

Vancouver:

Pandey A. APPLICATION OF DIGITAL SIGNAL PROCESSING TO UNDERGROUND POWER CABLES FAULT DETECTION. [Internet] [Masters thesis]. Mississippi State University; 2011. [cited 2021 Mar 07]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-07052011-130953/ ;.

Council of Science Editors:

Pandey A. APPLICATION OF DIGITAL SIGNAL PROCESSING TO UNDERGROUND POWER CABLES FAULT DETECTION. [Masters Thesis]. Mississippi State University; 2011. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-07052011-130953/ ;


Texas A&M University

25. Pan, Xinghua. Model-Based State Estimation for Fault Detection under Disturbance.

Degree: PhD, Chemical Engineering, 2016, Texas A&M University

 The measurement of process states is critical for process monitoring, advanced process control, and process optimization. For chemical processes where state information cannot be measured… (more)

Subjects/Keywords: state estimation; process modeling; fault detection

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

APA (6th Edition):

Pan, X. (2016). Model-Based State Estimation for Fault Detection under Disturbance. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/159003

Chicago Manual of Style (16th Edition):

Pan, Xinghua. “Model-Based State Estimation for Fault Detection under Disturbance.” 2016. Doctoral Dissertation, Texas A&M University. Accessed March 07, 2021. http://hdl.handle.net/1969.1/159003.

MLA Handbook (7th Edition):

Pan, Xinghua. “Model-Based State Estimation for Fault Detection under Disturbance.” 2016. Web. 07 Mar 2021.

Vancouver:

Pan X. Model-Based State Estimation for Fault Detection under Disturbance. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1969.1/159003.

Council of Science Editors:

Pan X. Model-Based State Estimation for Fault Detection under Disturbance. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/159003


Texas A&M University

26. Zhu, Hezi. Real-Time Arc Fault Detection in Photovoltaic DC Systems.

Degree: MS, Electrical Engineering, 2016, Texas A&M University

 Arc fault is a significant reliability and safety concern for photovoltaic (PV) direct current (DC) electrical systems. Failure to detect an arc fault can lead… (more)

Subjects/Keywords: photovoltaic; real-time; arc fault detection; wavelet

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

APA (6th Edition):

Zhu, H. (2016). Real-Time Arc Fault Detection in Photovoltaic DC Systems. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/174657

Chicago Manual of Style (16th Edition):

Zhu, Hezi. “Real-Time Arc Fault Detection in Photovoltaic DC Systems.” 2016. Masters Thesis, Texas A&M University. Accessed March 07, 2021. http://hdl.handle.net/1969.1/174657.

MLA Handbook (7th Edition):

Zhu, Hezi. “Real-Time Arc Fault Detection in Photovoltaic DC Systems.” 2016. Web. 07 Mar 2021.

Vancouver:

Zhu H. Real-Time Arc Fault Detection in Photovoltaic DC Systems. [Internet] [Masters thesis]. Texas A&M University; 2016. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1969.1/174657.

Council of Science Editors:

Zhu H. Real-Time Arc Fault Detection in Photovoltaic DC Systems. [Masters Thesis]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/174657


Texas A&M University

27. Chu, Pang-Chun 1974-. User Visible Fault Detection for E-Commerce Sites.

Degree: PhD, Mechanical Engineering, 2011, Texas A&M University

 During the past decade, online shopping has already penetrated into the everyday life as the E-commerce business is growing by leaps and bounds. However, unexpected… (more)

Subjects/Keywords: Probability Analysis; Web Server Faults; Fault Detection

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

APA (6th Edition):

Chu, P. 1. (2011). User Visible Fault Detection for E-Commerce Sites. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/156347

Chicago Manual of Style (16th Edition):

Chu, Pang-Chun 1974-. “User Visible Fault Detection for E-Commerce Sites.” 2011. Doctoral Dissertation, Texas A&M University. Accessed March 07, 2021. http://hdl.handle.net/1969.1/156347.

MLA Handbook (7th Edition):

Chu, Pang-Chun 1974-. “User Visible Fault Detection for E-Commerce Sites.” 2011. Web. 07 Mar 2021.

Vancouver:

Chu P1. User Visible Fault Detection for E-Commerce Sites. [Internet] [Doctoral dissertation]. Texas A&M University; 2011. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1969.1/156347.

Council of Science Editors:

Chu P1. User Visible Fault Detection for E-Commerce Sites. [Doctoral Dissertation]. Texas A&M University; 2011. Available from: http://hdl.handle.net/1969.1/156347


Queens University

28. Chauhan, Vedang. Fault Detection and Classification in Automated Assembly Machines Using Machine Vision .

Degree: Mechanical and Materials Engineering, 2016, Queens University

 Automated assembly machines operate continuously to achieve high production rates. Continuous operation increases the potential for faults, with subsequent machine downtime. Early fault detection can… (more)

Subjects/Keywords: Machine Vision ; Automated Assembly Machine ; Fault Detection

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APA (6th Edition):

Chauhan, V. (2016). Fault Detection and Classification in Automated Assembly Machines Using Machine Vision . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/14340

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):

Chauhan, Vedang. “Fault Detection and Classification in Automated Assembly Machines Using Machine Vision .” 2016. Thesis, Queens University. Accessed March 07, 2021. http://hdl.handle.net/1974/14340.

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

MLA Handbook (7th Edition):

Chauhan, Vedang. “Fault Detection and Classification in Automated Assembly Machines Using Machine Vision .” 2016. Web. 07 Mar 2021.

Vancouver:

Chauhan V. Fault Detection and Classification in Automated Assembly Machines Using Machine Vision . [Internet] [Thesis]. Queens University; 2016. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1974/14340.

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

Council of Science Editors:

Chauhan V. Fault Detection and Classification in Automated Assembly Machines Using Machine Vision . [Thesis]. Queens University; 2016. Available from: http://hdl.handle.net/1974/14340

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


University of Ottawa

29. Mayo, Elise. A Non-filtering Gear Fault Detection Method .

Degree: 2016, University of Ottawa

 Rotating elements, including gears, are one of the most problematic elements in machinery. It is not preferable to monitor their condition visually considering time and… (more)

Subjects/Keywords: Fault; Detection; Gear; Non-Filtering; Energy Opterator

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APA (6th Edition):

Mayo, E. (2016). A Non-filtering Gear Fault Detection Method . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/34387

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):

Mayo, Elise. “A Non-filtering Gear Fault Detection Method .” 2016. Thesis, University of Ottawa. Accessed March 07, 2021. http://hdl.handle.net/10393/34387.

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

MLA Handbook (7th Edition):

Mayo, Elise. “A Non-filtering Gear Fault Detection Method .” 2016. Web. 07 Mar 2021.

Vancouver:

Mayo E. A Non-filtering Gear Fault Detection Method . [Internet] [Thesis]. University of Ottawa; 2016. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10393/34387.

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

Council of Science Editors:

Mayo E. A Non-filtering Gear Fault Detection Method . [Thesis]. University of Ottawa; 2016. Available from: http://hdl.handle.net/10393/34387

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


University of Miami

30. Tarjan, Aaron V. Development of a Decision Support Tool to Test Energy Management Alarming Thresholds.

Degree: MS, Industrial Engineering (Engineering), 2011, University of Miami

  A novel model was developed to test the use of short data sets for testing various alarm thresholds as part of an energy management… (more)

Subjects/Keywords: energy management; alarm thresholds; fault detection

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APA (6th Edition):

Tarjan, A. V. (2011). Development of a Decision Support Tool to Test Energy Management Alarming Thresholds. (Thesis). University of Miami. Retrieved from https://scholarlyrepository.miami.edu/oa_theses/249

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):

Tarjan, Aaron V. “Development of a Decision Support Tool to Test Energy Management Alarming Thresholds.” 2011. Thesis, University of Miami. Accessed March 07, 2021. https://scholarlyrepository.miami.edu/oa_theses/249.

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

MLA Handbook (7th Edition):

Tarjan, Aaron V. “Development of a Decision Support Tool to Test Energy Management Alarming Thresholds.” 2011. Web. 07 Mar 2021.

Vancouver:

Tarjan AV. Development of a Decision Support Tool to Test Energy Management Alarming Thresholds. [Internet] [Thesis]. University of Miami; 2011. [cited 2021 Mar 07]. Available from: https://scholarlyrepository.miami.edu/oa_theses/249.

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

Council of Science Editors:

Tarjan AV. Development of a Decision Support Tool to Test Energy Management Alarming Thresholds. [Thesis]. University of Miami; 2011. Available from: https://scholarlyrepository.miami.edu/oa_theses/249

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

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