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You searched for subject:(Fault diagnosis). Showing records 1 – 30 of 430 total matches.

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University of Alberta

1. 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 April 21, 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. 21 Apr 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 Apr 21]. 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


University of New South Wales

2. 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 April 21, 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. 21 Apr 2021.

Vancouver:

Lei Q. Dissipativity Based Fault Detection and Diagnosis for Process Systems. [Internet] [Doctoral dissertation]. University of New South Wales; 2018. [cited 2021 Apr 21]. 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

3. Srinivasan S. Fault identification and analysis Using AI TECHNIQUES for three tank System and deaerator;.

Degree: Fault identification and analysis Using AI TECHNIQUES for three tank System and deaerator, 2014, Anna University

A fault can be defined as an unexpected change or malfunction in a newlineSystem although it may not lead to any physical failure or breakdown… (more)

Subjects/Keywords: AI techniques; Fault diagnosis

Page 1

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APA (6th Edition):

S, S. (2014). Fault identification and analysis Using AI TECHNIQUES for three tank System and deaerator;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/29845

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):

S, Srinivasan. “Fault identification and analysis Using AI TECHNIQUES for three tank System and deaerator;.” 2014. Thesis, Anna University. Accessed April 21, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/29845.

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

MLA Handbook (7th Edition):

S, Srinivasan. “Fault identification and analysis Using AI TECHNIQUES for three tank System and deaerator;.” 2014. Web. 21 Apr 2021.

Vancouver:

S S. Fault identification and analysis Using AI TECHNIQUES for three tank System and deaerator;. [Internet] [Thesis]. Anna University; 2014. [cited 2021 Apr 21]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/29845.

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

Council of Science Editors:

S S. Fault identification and analysis Using AI TECHNIQUES for three tank System and deaerator;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/29845

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


Texas A&M University

4. Yu, Hongtao. A Detection and Mitigation System for Unintended Acceleration: An Integrated Hybrid Data-driven and Model-based Approach.

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

 This study presents an integrated hybrid data-driven and model-based approach to detecting abnormal driving conditions. Vehicle data (e.g., velocity and gas pedal position) and traffic… (more)

Subjects/Keywords: Fault diagnosis; Vehicle safety

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APA (6th Edition):

Yu, H. (2016). A Detection and Mitigation System for Unintended Acceleration: An Integrated Hybrid Data-driven and Model-based Approach. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/159082

Chicago Manual of Style (16th Edition):

Yu, Hongtao. “A Detection and Mitigation System for Unintended Acceleration: An Integrated Hybrid Data-driven and Model-based Approach.” 2016. Doctoral Dissertation, Texas A&M University. Accessed April 21, 2021. http://hdl.handle.net/1969.1/159082.

MLA Handbook (7th Edition):

Yu, Hongtao. “A Detection and Mitigation System for Unintended Acceleration: An Integrated Hybrid Data-driven and Model-based Approach.” 2016. Web. 21 Apr 2021.

Vancouver:

Yu H. A Detection and Mitigation System for Unintended Acceleration: An Integrated Hybrid Data-driven and Model-based Approach. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2021 Apr 21]. Available from: http://hdl.handle.net/1969.1/159082.

Council of Science Editors:

Yu H. A Detection and Mitigation System for Unintended Acceleration: An Integrated Hybrid Data-driven and Model-based Approach. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/159082


Texas A&M University

5. Lin, Chen-Han. A Hybrid Model Based and Statistical Fault Diagnosis System for Industrial Process.

Degree: MS, Mechanical Engineering, 2014, Texas A&M University

 This thesis presents a hybrid model based and statistical fault diagnosis system, which applied on the nonlinear three-tank model. The purpose of fault diagnosis is… (more)

Subjects/Keywords: Mode-based fault diagnosis

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APA (6th Edition):

Lin, C. (2014). A Hybrid Model Based and Statistical Fault Diagnosis System for Industrial Process. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/154056

Chicago Manual of Style (16th Edition):

Lin, Chen-Han. “A Hybrid Model Based and Statistical Fault Diagnosis System for Industrial Process.” 2014. Masters Thesis, Texas A&M University. Accessed April 21, 2021. http://hdl.handle.net/1969.1/154056.

MLA Handbook (7th Edition):

Lin, Chen-Han. “A Hybrid Model Based and Statistical Fault Diagnosis System for Industrial Process.” 2014. Web. 21 Apr 2021.

Vancouver:

Lin C. A Hybrid Model Based and Statistical Fault Diagnosis System for Industrial Process. [Internet] [Masters thesis]. Texas A&M University; 2014. [cited 2021 Apr 21]. Available from: http://hdl.handle.net/1969.1/154056.

Council of Science Editors:

Lin C. A Hybrid Model Based and Statistical Fault Diagnosis System for Industrial Process. [Masters Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/154056


Louisiana State University

6. Kahirdeh, Ali. A Diagnosis Feature Space for Condition Monitoring and Fault Diagnosis of Ball Bearings.

Degree: MSEE, Electrical and Computer Engineering, 2014, Louisiana State University

 The problem of fault diagnosis and condition monitoring of ball bearings is a multidisciplinary subject. It involves research subjects from diverse disciplines of mechanical engineering,… (more)

Subjects/Keywords: Signal processing; Fault diagnosis

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APA (6th Edition):

Kahirdeh, A. (2014). A Diagnosis Feature Space for Condition Monitoring and Fault Diagnosis of Ball Bearings. (Masters Thesis). Louisiana State University. Retrieved from etd-10202014-161318 ; https://digitalcommons.lsu.edu/gradschool_theses/1579

Chicago Manual of Style (16th Edition):

Kahirdeh, Ali. “A Diagnosis Feature Space for Condition Monitoring and Fault Diagnosis of Ball Bearings.” 2014. Masters Thesis, Louisiana State University. Accessed April 21, 2021. etd-10202014-161318 ; https://digitalcommons.lsu.edu/gradschool_theses/1579.

MLA Handbook (7th Edition):

Kahirdeh, Ali. “A Diagnosis Feature Space for Condition Monitoring and Fault Diagnosis of Ball Bearings.” 2014. Web. 21 Apr 2021.

Vancouver:

Kahirdeh A. A Diagnosis Feature Space for Condition Monitoring and Fault Diagnosis of Ball Bearings. [Internet] [Masters thesis]. Louisiana State University; 2014. [cited 2021 Apr 21]. Available from: etd-10202014-161318 ; https://digitalcommons.lsu.edu/gradschool_theses/1579.

Council of Science Editors:

Kahirdeh A. A Diagnosis Feature Space for Condition Monitoring and Fault Diagnosis of Ball Bearings. [Masters Thesis]. Louisiana State University; 2014. Available from: etd-10202014-161318 ; https://digitalcommons.lsu.edu/gradschool_theses/1579

7. Md Kamal, Mahanijah. Intelligent fault detection and isolation for proton exchange membrane fuel cell systems.

Degree: PhD, 2014, Liverpool John Moores University

 This work presents a new approach for detecting and isolating faults in nonlinear processes using independent neural network models. In this approach, an independent neural… (more)

Subjects/Keywords: 621.381; Fault diagnosis; neural network

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APA (6th Edition):

Md Kamal, M. (2014). Intelligent fault detection and isolation for proton exchange membrane fuel cell systems. (Doctoral Dissertation). Liverpool John Moores University. Retrieved from https://doi.org/10.24377/LJMU.t.00004574 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.617384

Chicago Manual of Style (16th Edition):

Md Kamal, Mahanijah. “Intelligent fault detection and isolation for proton exchange membrane fuel cell systems.” 2014. Doctoral Dissertation, Liverpool John Moores University. Accessed April 21, 2021. https://doi.org/10.24377/LJMU.t.00004574 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.617384.

MLA Handbook (7th Edition):

Md Kamal, Mahanijah. “Intelligent fault detection and isolation for proton exchange membrane fuel cell systems.” 2014. Web. 21 Apr 2021.

Vancouver:

Md Kamal M. Intelligent fault detection and isolation for proton exchange membrane fuel cell systems. [Internet] [Doctoral dissertation]. Liverpool John Moores University; 2014. [cited 2021 Apr 21]. Available from: https://doi.org/10.24377/LJMU.t.00004574 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.617384.

Council of Science Editors:

Md Kamal M. Intelligent fault detection and isolation for proton exchange membrane fuel cell systems. [Doctoral Dissertation]. Liverpool John Moores University; 2014. Available from: https://doi.org/10.24377/LJMU.t.00004574 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.617384


University of New South Wales

8. Peng, Dikang. Vibration-based diagnosis of localised planet gear faults.

Degree: Mechanical & Manufacturing Engineering, 2019, University of New South Wales

 Gear tooth spalls and cracks are the two most common localised faults in gearboxes, yet they have quite different prognoses and remaining useful life predictions.… (more)

Subjects/Keywords: Fault diagnosis; Planetary gearbox; Vibration

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APA (6th Edition):

Peng, D. (2019). Vibration-based diagnosis of localised planet gear faults. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/63398

Chicago Manual of Style (16th Edition):

Peng, Dikang. “Vibration-based diagnosis of localised planet gear faults.” 2019. Doctoral Dissertation, University of New South Wales. Accessed April 21, 2021. http://handle.unsw.edu.au/1959.4/63398.

MLA Handbook (7th Edition):

Peng, Dikang. “Vibration-based diagnosis of localised planet gear faults.” 2019. Web. 21 Apr 2021.

Vancouver:

Peng D. Vibration-based diagnosis of localised planet gear faults. [Internet] [Doctoral dissertation]. University of New South Wales; 2019. [cited 2021 Apr 21]. Available from: http://handle.unsw.edu.au/1959.4/63398.

Council of Science Editors:

Peng D. Vibration-based diagnosis of localised planet gear faults. [Doctoral Dissertation]. University of New South Wales; 2019. Available from: http://handle.unsw.edu.au/1959.4/63398


University of Ontario Institute of Technology

9. Hosseini, Amir Hossein. Simulation-based fault propagation analysis of process industry using process variable interaction analysis.

Degree: 2013, University of Ontario Institute of Technology

 There are increasing safety concerns in chemical and petrochemical process industry. The huge explosion of Nowruz oil Field platform that happened in Persian gulf-IRAN at… (more)

Subjects/Keywords: Fault propagation; Fault diagnosis; Fault semantic network (FSN); TE process

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APA (6th Edition):

Hosseini, A. H. (2013). Simulation-based fault propagation analysis of process industry using process variable interaction analysis. (Thesis). University of Ontario Institute of Technology. Retrieved from http://hdl.handle.net/10155/302

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):

Hosseini, Amir Hossein. “Simulation-based fault propagation analysis of process industry using process variable interaction analysis.” 2013. Thesis, University of Ontario Institute of Technology. Accessed April 21, 2021. http://hdl.handle.net/10155/302.

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

MLA Handbook (7th Edition):

Hosseini, Amir Hossein. “Simulation-based fault propagation analysis of process industry using process variable interaction analysis.” 2013. Web. 21 Apr 2021.

Vancouver:

Hosseini AH. Simulation-based fault propagation analysis of process industry using process variable interaction analysis. [Internet] [Thesis]. University of Ontario Institute of Technology; 2013. [cited 2021 Apr 21]. Available from: http://hdl.handle.net/10155/302.

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

Council of Science Editors:

Hosseini AH. Simulation-based fault propagation analysis of process industry using process variable interaction analysis. [Thesis]. University of Ontario Institute of Technology; 2013. Available from: http://hdl.handle.net/10155/302

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


Rochester Institute of Technology

10. Rukas, Christopher J. Prognostic Health Assessment of an Automotive Proton Exchange Membrane Fuel Cell System.

Degree: MS, Mechanical Engineering, 2013, Rochester Institute of Technology

  Proton exchange membrane fuel cells are a promising technology for the automotive industry. However, it is necessary to develop effective diagnostic tools to improve… (more)

Subjects/Keywords: Fault diagnosis; Fuel cell; Health; PHA

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APA (6th Edition):

Rukas, C. J. (2013). Prognostic Health Assessment of an Automotive Proton Exchange Membrane Fuel Cell System. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/8599

Chicago Manual of Style (16th Edition):

Rukas, Christopher J. “Prognostic Health Assessment of an Automotive Proton Exchange Membrane Fuel Cell System.” 2013. Masters Thesis, Rochester Institute of Technology. Accessed April 21, 2021. https://scholarworks.rit.edu/theses/8599.

MLA Handbook (7th Edition):

Rukas, Christopher J. “Prognostic Health Assessment of an Automotive Proton Exchange Membrane Fuel Cell System.” 2013. Web. 21 Apr 2021.

Vancouver:

Rukas CJ. Prognostic Health Assessment of an Automotive Proton Exchange Membrane Fuel Cell System. [Internet] [Masters thesis]. Rochester Institute of Technology; 2013. [cited 2021 Apr 21]. Available from: https://scholarworks.rit.edu/theses/8599.

Council of Science Editors:

Rukas CJ. Prognostic Health Assessment of an Automotive Proton Exchange Membrane Fuel Cell System. [Masters Thesis]. Rochester Institute of Technology; 2013. Available from: https://scholarworks.rit.edu/theses/8599


Penn State University

11. Aslam, Mohamed Nadeem. Induction Motor Fault Classification Using novel Pca, Svm, And Hybrid Ann .

Degree: 2015, Penn State University

 Induction motors have a long history of applications in wide ranging environments and have a proven track record in climate control applications, industrial processes, traction… (more)

Subjects/Keywords: Induction Motor; Fault Diagnosis; SVM; ANN

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APA (6th Edition):

Aslam, M. N. (2015). Induction Motor Fault Classification Using novel Pca, Svm, And Hybrid Ann . (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/26689

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):

Aslam, Mohamed Nadeem. “Induction Motor Fault Classification Using novel Pca, Svm, And Hybrid Ann .” 2015. Thesis, Penn State University. Accessed April 21, 2021. https://submit-etda.libraries.psu.edu/catalog/26689.

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

MLA Handbook (7th Edition):

Aslam, Mohamed Nadeem. “Induction Motor Fault Classification Using novel Pca, Svm, And Hybrid Ann .” 2015. Web. 21 Apr 2021.

Vancouver:

Aslam MN. Induction Motor Fault Classification Using novel Pca, Svm, And Hybrid Ann . [Internet] [Thesis]. Penn State University; 2015. [cited 2021 Apr 21]. Available from: https://submit-etda.libraries.psu.edu/catalog/26689.

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

Council of Science Editors:

Aslam MN. Induction Motor Fault Classification Using novel Pca, Svm, And Hybrid Ann . [Thesis]. Penn State University; 2015. Available from: https://submit-etda.libraries.psu.edu/catalog/26689

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


University of Southern California

12. Tsau, Enshuo. Advanced features and feature selection methods for vibration and audio signal classification.

Degree: PhD, Electrical Engineering, 2012, University of Southern California

 An adequate feature set plays a key role in many signal classification and recognition applications. This is a challenging problem due to the nonlinearity and… (more)

Subjects/Keywords: CELP; fault diagnosis; feature selection; HHT

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APA (6th Edition):

Tsau, E. (2012). Advanced features and feature selection methods for vibration and audio signal classification. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/89597/rec/542

Chicago Manual of Style (16th Edition):

Tsau, Enshuo. “Advanced features and feature selection methods for vibration and audio signal classification.” 2012. Doctoral Dissertation, University of Southern California. Accessed April 21, 2021. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/89597/rec/542.

MLA Handbook (7th Edition):

Tsau, Enshuo. “Advanced features and feature selection methods for vibration and audio signal classification.” 2012. Web. 21 Apr 2021.

Vancouver:

Tsau E. Advanced features and feature selection methods for vibration and audio signal classification. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2021 Apr 21]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/89597/rec/542.

Council of Science Editors:

Tsau E. Advanced features and feature selection methods for vibration and audio signal classification. [Doctoral Dissertation]. University of Southern California; 2012. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/89597/rec/542


University of Pretoria

13. [No author]. Nonlinear fault detection and diagnosis using Kernel based techniques applied to a pilot distillation colomn .

Degree: 2008, University of Pretoria

Fault detection and diagnosis is an important problem in process engineering. In this dissertation, use of multivariate techniques for fault detection and diagnosis is explored… (more)

Subjects/Keywords: Statistical process control; Fault diagnosis; Fault detection; Kernel based methods; UCTD

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APA (6th Edition):

author], [. (2008). Nonlinear fault detection and diagnosis using Kernel based techniques applied to a pilot distillation colomn . (Masters Thesis). University of Pretoria. Retrieved from http://upetd.up.ac.za/thesis/available/etd-01152008-125258/

Chicago Manual of Style (16th Edition):

author], [No. “Nonlinear fault detection and diagnosis using Kernel based techniques applied to a pilot distillation colomn .” 2008. Masters Thesis, University of Pretoria. Accessed April 21, 2021. http://upetd.up.ac.za/thesis/available/etd-01152008-125258/.

MLA Handbook (7th Edition):

author], [No. “Nonlinear fault detection and diagnosis using Kernel based techniques applied to a pilot distillation colomn .” 2008. Web. 21 Apr 2021.

Vancouver:

author] [. Nonlinear fault detection and diagnosis using Kernel based techniques applied to a pilot distillation colomn . [Internet] [Masters thesis]. University of Pretoria; 2008. [cited 2021 Apr 21]. Available from: http://upetd.up.ac.za/thesis/available/etd-01152008-125258/.

Council of Science Editors:

author] [. Nonlinear fault detection and diagnosis using Kernel based techniques applied to a pilot distillation colomn . [Masters Thesis]. University of Pretoria; 2008. Available from: http://upetd.up.ac.za/thesis/available/etd-01152008-125258/


Texas A&M University

14. Lin, Guanjing. Development of New Whole Building Fault Detection and Diagnosis Techniques for Commissioning Persistence.

Degree: PhD, Mechanical Engineering, 2012, Texas A&M University

 Commercial building owners spent $167 billion for energy in 2006. Building commissioning services have proven to be successful in saving building energy consumption. However, the… (more)

Subjects/Keywords: Fault Diagnosis; Fault detection; Whole Building; Energy Consumption

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APA (6th Edition):

Lin, G. (2012). Development of New Whole Building Fault Detection and Diagnosis Techniques for Commissioning Persistence. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/148190

Chicago Manual of Style (16th Edition):

Lin, Guanjing. “Development of New Whole Building Fault Detection and Diagnosis Techniques for Commissioning Persistence.” 2012. Doctoral Dissertation, Texas A&M University. Accessed April 21, 2021. http://hdl.handle.net/1969.1/148190.

MLA Handbook (7th Edition):

Lin, Guanjing. “Development of New Whole Building Fault Detection and Diagnosis Techniques for Commissioning Persistence.” 2012. Web. 21 Apr 2021.

Vancouver:

Lin G. Development of New Whole Building Fault Detection and Diagnosis Techniques for Commissioning Persistence. [Internet] [Doctoral dissertation]. Texas A&M University; 2012. [cited 2021 Apr 21]. Available from: http://hdl.handle.net/1969.1/148190.

Council of Science Editors:

Lin G. Development of New Whole Building Fault Detection and Diagnosis Techniques for Commissioning Persistence. [Doctoral Dissertation]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/148190


University of Pretoria

15. Phillpotts, David Nicholas Charles. Nonlinear fault detection and diagnosis using Kernel based techniques applied to a pilot distillation colomn.

Degree: MEng, Chemical Engineering, 2008, University of Pretoria

Fault detection and diagnosis is an important problem in process engineering. In this dissertation, use of multivariate techniques for fault detection and diagnosis is explored… (more)

Subjects/Keywords: Statistical process control; Fault diagnosis; Fault detection; Kernel based methods; UCTD

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

APA (6th Edition):

Phillpotts, D. N. (2008). Nonlinear fault detection and diagnosis using Kernel based techniques applied to a pilot distillation colomn. (Masters Thesis). University of Pretoria. Retrieved from http://hdl.handle.net/2263/23256

Chicago Manual of Style (16th Edition):

Phillpotts, David Nicholas. “Nonlinear fault detection and diagnosis using Kernel based techniques applied to a pilot distillation colomn.” 2008. Masters Thesis, University of Pretoria. Accessed April 21, 2021. http://hdl.handle.net/2263/23256.

MLA Handbook (7th Edition):

Phillpotts, David Nicholas. “Nonlinear fault detection and diagnosis using Kernel based techniques applied to a pilot distillation colomn.” 2008. Web. 21 Apr 2021.

Vancouver:

Phillpotts DN. Nonlinear fault detection and diagnosis using Kernel based techniques applied to a pilot distillation colomn. [Internet] [Masters thesis]. University of Pretoria; 2008. [cited 2021 Apr 21]. Available from: http://hdl.handle.net/2263/23256.

Council of Science Editors:

Phillpotts DN. Nonlinear fault detection and diagnosis using Kernel based techniques applied to a pilot distillation colomn. [Masters Thesis]. University of Pretoria; 2008. Available from: http://hdl.handle.net/2263/23256


University of Toronto

16. Kok, Yao Hong. Advances in Fault Diagnosis and Fault Tolerant Control Motivated by Large Flexible Space Structure.

Degree: 2013, University of Toronto

In this thesis, two problems are studied. The first problem is to find a technique to generate a particular type of failure information in real… (more)

Subjects/Keywords: Fault Diagnosis; Fault Tolerant Control; Large Flexible Space Structure; Control; 0790

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

APA (6th Edition):

Kok, Y. H. (2013). Advances in Fault Diagnosis and Fault Tolerant Control Motivated by Large Flexible Space Structure. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/42993

Chicago Manual of Style (16th Edition):

Kok, Yao Hong. “Advances in Fault Diagnosis and Fault Tolerant Control Motivated by Large Flexible Space Structure.” 2013. Masters Thesis, University of Toronto. Accessed April 21, 2021. http://hdl.handle.net/1807/42993.

MLA Handbook (7th Edition):

Kok, Yao Hong. “Advances in Fault Diagnosis and Fault Tolerant Control Motivated by Large Flexible Space Structure.” 2013. Web. 21 Apr 2021.

Vancouver:

Kok YH. Advances in Fault Diagnosis and Fault Tolerant Control Motivated by Large Flexible Space Structure. [Internet] [Masters thesis]. University of Toronto; 2013. [cited 2021 Apr 21]. Available from: http://hdl.handle.net/1807/42993.

Council of Science Editors:

Kok YH. Advances in Fault Diagnosis and Fault Tolerant Control Motivated by Large Flexible Space Structure. [Masters Thesis]. University of Toronto; 2013. Available from: http://hdl.handle.net/1807/42993


University of Sydney

17. Tong, Ziyuan. Arc Source Recognition and Locating Based on Electromagnetic field analysis .

Degree: 2016, University of Sydney

 An electric arc is the breakdown of gas discharge between electrodes. In daily life and industrial production, electric arcs can be divided into two categories:… (more)

Subjects/Keywords: Fault Diagnosis; Arc Fault locating; Electromagnetic signal anlaysis

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APA (6th Edition):

Tong, Z. (2016). Arc Source Recognition and Locating Based on Electromagnetic field analysis . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/16182

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):

Tong, Ziyuan. “Arc Source Recognition and Locating Based on Electromagnetic field analysis .” 2016. Thesis, University of Sydney. Accessed April 21, 2021. http://hdl.handle.net/2123/16182.

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

MLA Handbook (7th Edition):

Tong, Ziyuan. “Arc Source Recognition and Locating Based on Electromagnetic field analysis .” 2016. Web. 21 Apr 2021.

Vancouver:

Tong Z. Arc Source Recognition and Locating Based on Electromagnetic field analysis . [Internet] [Thesis]. University of Sydney; 2016. [cited 2021 Apr 21]. Available from: http://hdl.handle.net/2123/16182.

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

Council of Science Editors:

Tong Z. Arc Source Recognition and Locating Based on Electromagnetic field analysis . [Thesis]. University of Sydney; 2016. Available from: http://hdl.handle.net/2123/16182

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


Wright State University

18. Avram, Remus C. Fault Diagnosis and Fault-Tolerant Control of Quadrotor UAVs.

Degree: PhD, Engineering PhD, 2016, Wright State University

 Quadrotors represent a special class of Unmanned Aerial Vehicles (UAVs) and have attracted significant attention in recent years due to their potential in various military… (more)

Subjects/Keywords: Electrical Engineering; fault diagnosis; fault-tolerant control; adaptive control; quadrotor UAVs

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APA (6th Edition):

Avram, R. C. (2016). Fault Diagnosis and Fault-Tolerant Control of Quadrotor UAVs. (Doctoral Dissertation). Wright State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=wright1464343320

Chicago Manual of Style (16th Edition):

Avram, Remus C. “Fault Diagnosis and Fault-Tolerant Control of Quadrotor UAVs.” 2016. Doctoral Dissertation, Wright State University. Accessed April 21, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=wright1464343320.

MLA Handbook (7th Edition):

Avram, Remus C. “Fault Diagnosis and Fault-Tolerant Control of Quadrotor UAVs.” 2016. Web. 21 Apr 2021.

Vancouver:

Avram RC. Fault Diagnosis and Fault-Tolerant Control of Quadrotor UAVs. [Internet] [Doctoral dissertation]. Wright State University; 2016. [cited 2021 Apr 21]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1464343320.

Council of Science Editors:

Avram RC. Fault Diagnosis and Fault-Tolerant Control of Quadrotor UAVs. [Doctoral Dissertation]. Wright State University; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1464343320


Mississippi State University

19. Jia, Rui. Towards model-based fault management for computing systems.

Degree: PhD, Electrical and Computer Engineering, 2016, Mississippi State University

  Large scale distributed computing systems have been extensively utilized to host critical applications in the fields of national defense, finance, scientific research, commerce, etc.… (more)

Subjects/Keywords: Component-based Modeling; Quality of Service; Fault Diagnosis; Autonomic Computing; Self-healing Systems; Fault Tolerance

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APA (6th Edition):

Jia, R. (2016). Towards model-based fault management for computing systems. (Doctoral Dissertation). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-03212016-211403/ ;

Chicago Manual of Style (16th Edition):

Jia, Rui. “Towards model-based fault management for computing systems.” 2016. Doctoral Dissertation, Mississippi State University. Accessed April 21, 2021. http://sun.library.msstate.edu/ETD-db/theses/available/etd-03212016-211403/ ;.

MLA Handbook (7th Edition):

Jia, Rui. “Towards model-based fault management for computing systems.” 2016. Web. 21 Apr 2021.

Vancouver:

Jia R. Towards model-based fault management for computing systems. [Internet] [Doctoral dissertation]. Mississippi State University; 2016. [cited 2021 Apr 21]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-03212016-211403/ ;.

Council of Science Editors:

Jia R. Towards model-based fault management for computing systems. [Doctoral Dissertation]. Mississippi State University; 2016. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-03212016-211403/ ;


University of Alberta

20. Kiasi, Fariborz. Model Based Fault Detection and Diagnosis of LTI Systems using Likelihood Ratio Tests.

Degree: PhD, Department of Chemical and Materials Engineering, 2014, University of Alberta

 This study aims to develop a new framework to detect, isolate and estimate the magnitude of additive faults that occur in linear time invariant (LTI)… (more)

Subjects/Keywords: Fault Detection and Isolation; Fault Detection and Diagnosis; Generalized Likelihood Ratio Test; Kalman Filter

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

APA (6th Edition):

Kiasi, F. (2014). Model Based Fault Detection and Diagnosis of LTI Systems using Likelihood Ratio Tests. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/0k225c119

Chicago Manual of Style (16th Edition):

Kiasi, Fariborz. “Model Based Fault Detection and Diagnosis of LTI Systems using Likelihood Ratio Tests.” 2014. Doctoral Dissertation, University of Alberta. Accessed April 21, 2021. https://era.library.ualberta.ca/files/0k225c119.

MLA Handbook (7th Edition):

Kiasi, Fariborz. “Model Based Fault Detection and Diagnosis of LTI Systems using Likelihood Ratio Tests.” 2014. Web. 21 Apr 2021.

Vancouver:

Kiasi F. Model Based Fault Detection and Diagnosis of LTI Systems using Likelihood Ratio Tests. [Internet] [Doctoral dissertation]. University of Alberta; 2014. [cited 2021 Apr 21]. Available from: https://era.library.ualberta.ca/files/0k225c119.

Council of Science Editors:

Kiasi F. Model Based Fault Detection and Diagnosis of LTI Systems using Likelihood Ratio Tests. [Doctoral Dissertation]. University of Alberta; 2014. Available from: https://era.library.ualberta.ca/files/0k225c119


Vanderbilt University

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

Degree: PhD, Electrical Engineering, 2018, Vanderbilt University

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

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

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

APA (6th Edition):

Khorasgani, H. G. (2018). Model- and data-driven approaches to fault detection and isolation in complex systems. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/10449

Chicago Manual of Style (16th Edition):

Khorasgani, Hamed Ghazavi. “Model- and data-driven approaches to fault detection and isolation in complex systems.” 2018. Doctoral Dissertation, Vanderbilt University. Accessed April 21, 2021. http://hdl.handle.net/1803/10449.

MLA Handbook (7th Edition):

Khorasgani, Hamed Ghazavi. “Model- and data-driven approaches to fault detection and isolation in complex systems.” 2018. Web. 21 Apr 2021.

Vancouver:

Khorasgani HG. Model- and data-driven approaches to fault detection and isolation in complex systems. [Internet] [Doctoral dissertation]. Vanderbilt University; 2018. [cited 2021 Apr 21]. Available from: http://hdl.handle.net/1803/10449.

Council of Science Editors:

Khorasgani HG. Model- and data-driven approaches to fault detection and isolation in complex systems. [Doctoral Dissertation]. Vanderbilt University; 2018. Available from: http://hdl.handle.net/1803/10449


University of Toronto

22. Tee, Fu Yuan. Novel Techniques for Process Topology Reconstruction and Fault Diagnosis.

Degree: 2018, University of Toronto

Fault diagnosis is a challenging problem, particularly for a large-scale industrial process. An up-to-date and accurate process topology – the causal relationships between system components… (more)

Subjects/Keywords: causality; fault detection and fault diagnosis; process topology reconstruction; root cause analysis; 0542

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APA (6th Edition):

Tee, F. Y. (2018). Novel Techniques for Process Topology Reconstruction and Fault Diagnosis. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/91655

Chicago Manual of Style (16th Edition):

Tee, Fu Yuan. “Novel Techniques for Process Topology Reconstruction and Fault Diagnosis.” 2018. Masters Thesis, University of Toronto. Accessed April 21, 2021. http://hdl.handle.net/1807/91655.

MLA Handbook (7th Edition):

Tee, Fu Yuan. “Novel Techniques for Process Topology Reconstruction and Fault Diagnosis.” 2018. Web. 21 Apr 2021.

Vancouver:

Tee FY. Novel Techniques for Process Topology Reconstruction and Fault Diagnosis. [Internet] [Masters thesis]. University of Toronto; 2018. [cited 2021 Apr 21]. Available from: http://hdl.handle.net/1807/91655.

Council of Science Editors:

Tee FY. Novel Techniques for Process Topology Reconstruction and Fault Diagnosis. [Masters Thesis]. University of Toronto; 2018. Available from: http://hdl.handle.net/1807/91655


AUT University

23. Gheitasi, Alireza. Motors fault recognition using distributed current signature analysis .

Degree: 2013, AUT University

 Immediate detection and diagnosis of existing faults and faulty behaviour of electrical motors using electrical signals is one of the important interests of the power… (more)

Subjects/Keywords: Fault finding; Induction motors; Distributed diagnosis; Current signature analysis; Power system monitoring; Fault modelling

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

APA (6th Edition):

Gheitasi, A. (2013). Motors fault recognition using distributed current signature analysis . (Thesis). AUT University. Retrieved from http://hdl.handle.net/10292/5280

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):

Gheitasi, Alireza. “Motors fault recognition using distributed current signature analysis .” 2013. Thesis, AUT University. Accessed April 21, 2021. http://hdl.handle.net/10292/5280.

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

MLA Handbook (7th Edition):

Gheitasi, Alireza. “Motors fault recognition using distributed current signature analysis .” 2013. Web. 21 Apr 2021.

Vancouver:

Gheitasi A. Motors fault recognition using distributed current signature analysis . [Internet] [Thesis]. AUT University; 2013. [cited 2021 Apr 21]. Available from: http://hdl.handle.net/10292/5280.

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

Council of Science Editors:

Gheitasi A. Motors fault recognition using distributed current signature analysis . [Thesis]. AUT University; 2013. Available from: http://hdl.handle.net/10292/5280

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


University of Ontario Institute of Technology

24. Kapoor, Saurabh. Fault tolerant control of active trailer steering systems for multi-trailer articulated heavy vehicles.

Degree: 2017, University of Ontario Institute of Technology

 Faults in a controlled plant often deteriorate the system performance. In severe cases, faults pose a risk of component damage, plant shutdown or even personnel… (more)

Subjects/Keywords: Fault tolerance; Fault diagnosis; H-infinity; Multi-trailer articulated heavy vehicles; Observers

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APA (6th Edition):

Kapoor, S. (2017). Fault tolerant control of active trailer steering systems for multi-trailer articulated heavy vehicles. (Thesis). University of Ontario Institute of Technology. Retrieved from http://hdl.handle.net/10155/805

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):

Kapoor, Saurabh. “Fault tolerant control of active trailer steering systems for multi-trailer articulated heavy vehicles.” 2017. Thesis, University of Ontario Institute of Technology. Accessed April 21, 2021. http://hdl.handle.net/10155/805.

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

MLA Handbook (7th Edition):

Kapoor, Saurabh. “Fault tolerant control of active trailer steering systems for multi-trailer articulated heavy vehicles.” 2017. Web. 21 Apr 2021.

Vancouver:

Kapoor S. Fault tolerant control of active trailer steering systems for multi-trailer articulated heavy vehicles. [Internet] [Thesis]. University of Ontario Institute of Technology; 2017. [cited 2021 Apr 21]. Available from: http://hdl.handle.net/10155/805.

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

Council of Science Editors:

Kapoor S. Fault tolerant control of active trailer steering systems for multi-trailer articulated heavy vehicles. [Thesis]. University of Ontario Institute of Technology; 2017. Available from: http://hdl.handle.net/10155/805

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


University of Southern California

25. Alcala Perez, Carlos Felipe. Fault diagnosis with reconstruction-based contributions for statistical process monitoring.

Degree: PhD, Chemical Engineering, 2011, University of Southern California

Fault detection and diagnosis are important for the safe operation and control of a process, and for the reduction of its operation and maintenance costs.… (more)

Subjects/Keywords: statistical process monitoring; principal component analysis; multivariate statistical methods; fault detection; fault diagnosis

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APA (6th Edition):

Alcala Perez, C. F. (2011). Fault diagnosis with reconstruction-based contributions for statistical process monitoring. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/622286/rec/2777

Chicago Manual of Style (16th Edition):

Alcala Perez, Carlos Felipe. “Fault diagnosis with reconstruction-based contributions for statistical process monitoring.” 2011. Doctoral Dissertation, University of Southern California. Accessed April 21, 2021. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/622286/rec/2777.

MLA Handbook (7th Edition):

Alcala Perez, Carlos Felipe. “Fault diagnosis with reconstruction-based contributions for statistical process monitoring.” 2011. Web. 21 Apr 2021.

Vancouver:

Alcala Perez CF. Fault diagnosis with reconstruction-based contributions for statistical process monitoring. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2021 Apr 21]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/622286/rec/2777.

Council of Science Editors:

Alcala Perez CF. Fault diagnosis with reconstruction-based contributions for statistical process monitoring. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/622286/rec/2777


Duke University

26. Zhang, Zhaobo. Optimization of Fault-Insertion Test and Diagnosis of Functional Failures .

Degree: 2011, Duke University

  Advances in semiconductor technology and design automation methods have introduced a new era for electronic products. With design sizes in millions of logic gates… (more)

Subjects/Keywords: Electrical Engineering; Fault Diagnosis; Fault-Insertion Test; Functional Failures; Machine learning; Manufacturing Test; Test Optimization

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APA (6th Edition):

Zhang, Z. (2011). Optimization of Fault-Insertion Test and Diagnosis of Functional Failures . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/5663

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):

Zhang, Zhaobo. “Optimization of Fault-Insertion Test and Diagnosis of Functional Failures .” 2011. Thesis, Duke University. Accessed April 21, 2021. http://hdl.handle.net/10161/5663.

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

MLA Handbook (7th Edition):

Zhang, Zhaobo. “Optimization of Fault-Insertion Test and Diagnosis of Functional Failures .” 2011. Web. 21 Apr 2021.

Vancouver:

Zhang Z. Optimization of Fault-Insertion Test and Diagnosis of Functional Failures . [Internet] [Thesis]. Duke University; 2011. [cited 2021 Apr 21]. Available from: http://hdl.handle.net/10161/5663.

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

Council of Science Editors:

Zhang Z. Optimization of Fault-Insertion Test and Diagnosis of Functional Failures . [Thesis]. Duke University; 2011. Available from: http://hdl.handle.net/10161/5663

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


Virginia Tech

27. Li, Min. Acceleration of Hardware Testing and Validation Algorithms using Graphics Processing Units.

Degree: PhD, Electrical and Computer Engineering, 2012, Virginia Tech

 With the advances of very large scale integration (VLSI) technology, the feature size has been shrinking steadily together with the increase in the design complexity… (more)

Subjects/Keywords: general purpose computation on graphics processing; parallel algorithm; design validation; fault diagnosis; Fault simulation

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APA (6th Edition):

Li, M. (2012). Acceleration of Hardware Testing and Validation Algorithms using Graphics Processing Units. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/29129

Chicago Manual of Style (16th Edition):

Li, Min. “Acceleration of Hardware Testing and Validation Algorithms using Graphics Processing Units.” 2012. Doctoral Dissertation, Virginia Tech. Accessed April 21, 2021. http://hdl.handle.net/10919/29129.

MLA Handbook (7th Edition):

Li, Min. “Acceleration of Hardware Testing and Validation Algorithms using Graphics Processing Units.” 2012. Web. 21 Apr 2021.

Vancouver:

Li M. Acceleration of Hardware Testing and Validation Algorithms using Graphics Processing Units. [Internet] [Doctoral dissertation]. Virginia Tech; 2012. [cited 2021 Apr 21]. Available from: http://hdl.handle.net/10919/29129.

Council of Science Editors:

Li M. Acceleration of Hardware Testing and Validation Algorithms using Graphics Processing Units. [Doctoral Dissertation]. Virginia Tech; 2012. Available from: http://hdl.handle.net/10919/29129


The Ohio State University

28. Deosthale, Eeshan Vijay. Model-Based Fault Diagnosis of Automatic Transmissions.

Degree: MS, Mechanical Engineering, 2018, The Ohio State University

 New automatic transmission designs with 6+ speeds provide a significant leap forward in providing greater fuel economy and customer satisfaction compared to earlier transmissions with… (more)

Subjects/Keywords: Mechanical Engineering; Automotive Engineering; Automatic Transmission; Fault Diagnosis; Clutch Fault; Structural Analysis; Sensor Placement

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APA (6th Edition):

Deosthale, E. V. (2018). Model-Based Fault Diagnosis of Automatic Transmissions. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1542631227815892

Chicago Manual of Style (16th Edition):

Deosthale, Eeshan Vijay. “Model-Based Fault Diagnosis of Automatic Transmissions.” 2018. Masters Thesis, The Ohio State University. Accessed April 21, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1542631227815892.

MLA Handbook (7th Edition):

Deosthale, Eeshan Vijay. “Model-Based Fault Diagnosis of Automatic Transmissions.” 2018. Web. 21 Apr 2021.

Vancouver:

Deosthale EV. Model-Based Fault Diagnosis of Automatic Transmissions. [Internet] [Masters thesis]. The Ohio State University; 2018. [cited 2021 Apr 21]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1542631227815892.

Council of Science Editors:

Deosthale EV. Model-Based Fault Diagnosis of Automatic Transmissions. [Masters Thesis]. The Ohio State University; 2018. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1542631227815892

29. Carbone, Marc A, Carbone. Development of a Supervisory Tool for Fault Detection and Diagnosis of DC Electric Power Systems with the Application of Deep Space Vehicles.

Degree: PhD, EECS - System and Control Engineering, 2021, Case Western Reserve University School of Graduate Studies

 This dissertation formulates the problem of fault detection and diagnosis of DC electric power systems for the application of autonomous spacecraft. The ability to accurately… (more)

Subjects/Keywords: Electrical Engineering; Energy; Spacecraft; Power System; Fault Detection and Diagnosis; Fault Supervision; State Estimation; Dynamics

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APA (6th Edition):

Carbone, Marc A, C. (2021). Development of a Supervisory Tool for Fault Detection and Diagnosis of DC Electric Power Systems with the Application of Deep Space Vehicles. (Doctoral Dissertation). Case Western Reserve University School of Graduate Studies. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=case1601984256665471

Chicago Manual of Style (16th Edition):

Carbone, Marc A, Carbone. “Development of a Supervisory Tool for Fault Detection and Diagnosis of DC Electric Power Systems with the Application of Deep Space Vehicles.” 2021. Doctoral Dissertation, Case Western Reserve University School of Graduate Studies. Accessed April 21, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=case1601984256665471.

MLA Handbook (7th Edition):

Carbone, Marc A, Carbone. “Development of a Supervisory Tool for Fault Detection and Diagnosis of DC Electric Power Systems with the Application of Deep Space Vehicles.” 2021. Web. 21 Apr 2021.

Vancouver:

Carbone, Marc A C. Development of a Supervisory Tool for Fault Detection and Diagnosis of DC Electric Power Systems with the Application of Deep Space Vehicles. [Internet] [Doctoral dissertation]. Case Western Reserve University School of Graduate Studies; 2021. [cited 2021 Apr 21]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1601984256665471.

Council of Science Editors:

Carbone, Marc A C. Development of a Supervisory Tool for Fault Detection and Diagnosis of DC Electric Power Systems with the Application of Deep Space Vehicles. [Doctoral Dissertation]. Case Western Reserve University School of Graduate Studies; 2021. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1601984256665471


Delft University of Technology

30. van Lagen, Gert (author). A Bayesian Approach for Active Fault Isolation with an Application to Leakage Localization in Water Distribution Networks.

Degree: 2020, Delft University of Technology

This thesis describes the application of a stochastic active fault diagnosis method for localising leaks in a Water Distribution Network (WDN) under parametric uncertainty, in… (more)

Subjects/Keywords: Active Fault Diagnosis; Water Distribution Network; Bayesian classification; Leak localisation; Fault Isolation

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

APA (6th Edition):

van Lagen, G. (. (2020). A Bayesian Approach for Active Fault Isolation with an Application to Leakage Localization in Water Distribution Networks. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:aabcc0a3-72c1-4bc0-9176-ef6028b9a6cb

Chicago Manual of Style (16th Edition):

van Lagen, Gert (author). “A Bayesian Approach for Active Fault Isolation with an Application to Leakage Localization in Water Distribution Networks.” 2020. Masters Thesis, Delft University of Technology. Accessed April 21, 2021. http://resolver.tudelft.nl/uuid:aabcc0a3-72c1-4bc0-9176-ef6028b9a6cb.

MLA Handbook (7th Edition):

van Lagen, Gert (author). “A Bayesian Approach for Active Fault Isolation with an Application to Leakage Localization in Water Distribution Networks.” 2020. Web. 21 Apr 2021.

Vancouver:

van Lagen G(. A Bayesian Approach for Active Fault Isolation with an Application to Leakage Localization in Water Distribution Networks. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 Apr 21]. Available from: http://resolver.tudelft.nl/uuid:aabcc0a3-72c1-4bc0-9176-ef6028b9a6cb.

Council of Science Editors:

van Lagen G(. A Bayesian Approach for Active Fault Isolation with an Application to Leakage Localization in Water Distribution Networks. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:aabcc0a3-72c1-4bc0-9176-ef6028b9a6cb

[1] [2] [3] [4] [5] … [15]

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