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A Unified Method for Detecting and Isolating Process Faults and Sensor Faults in Nonlinear Systems

Sonti, Niharika
http://rave.ohiolink.edu/etdc/view?acc_num=wright1292763603

Abstract Details

2010, Master of Science in Engineering (MSEgr), Wright State University, Electrical Engineering.
With the increase in the complexity of control systems design and the demand for more productivity, the possibility of the occurrence of faults in control systems has also significantly increased. In this thesis, a unified method for the fault diagnosis of sensor faults and process faults is developed for a class of Lipschitz nonlinear uncertain systems. The fault detection and isolation (FDI) architecture is comprised of a fault detection estimator and a bank of fault isolation estimators (FIEs), where each FIE is designed, based on the functional structure of a particular fault, in the fault class under consideration. The output residuals are generated, and adaptive thresholds are designed for the detection and isolation of the faults. The effectiveness of the fault detection and isolation algorithm is illustrated by a simulation example of single-link robotic arm. Extensive simulation studies have been conducted using Matlab/Simulink. Based on the nature of the residuals and their corresponding adaptive thresholds, the faults under consideration are successfully detected and isolated.
Xiaodong Zhang, PhD (Advisor)
Kuldip Rattan, PhD (Committee Member)
Pradeep Misra, PhD (Committee Member)
Andrew Hsu, PhD (Other)
66 p.
Electrical Engineering
Faults; Process Faults; fault isolation; Faults and Sensor; isolation estimators; FIE; fault isolation estimators

Recommended Citations

Citations

  • Sonti, N. (2010). A Unified Method for Detecting and Isolating Process Faults and Sensor Faults in Nonlinear Systems [Master's thesis, Wright State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=wright1292763603

    APA Style (7th edition)

  • Sonti, Niharika. A Unified Method for Detecting and Isolating Process Faults and Sensor Faults in Nonlinear Systems. 2010. Wright State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=wright1292763603.

    MLA Style (8th edition)

  • Sonti, Niharika. "A Unified Method for Detecting and Isolating Process Faults and Sensor Faults in Nonlinear Systems." Master's thesis, Wright State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=wright1292763603

    Chicago Manual of Style (17th edition)

wright1292763603
975
© 2010, all rights reserved.
This open access ETD is published by Wright State University and OhioLINK.