Title :
Isolation of process and sensor faults for a class of nonlinear uncertain systems
Author :
Zhang, Xiaodong ; Polycarpou, Marios M. ; Parisini, Thomas
Author_Institution :
Dept. of Electr. Eng., Wright State Univ., Dayton, OH
Abstract :
This paper presents a unified fault isolation scheme for process faults and sensor faults in a class of nonlinear uncertain systems. The proposed fault diagnosis architecture consists of a fault detection estimator and a bank of isolation estimators, each corresponding to a particular fault type. Based on the class of nonlinear systems and fault types under consideration, adaptive thresholds are derived for the isolation estimators, and fault isolability conditions are rigorously investigated, characterizing the class of process faults and sensor faults that are isolable by the proposed scheme.
Keywords :
fault diagnosis; nonlinear systems; sensors; uncertain systems; adaptive thresholds; fault detection estimator; fault diagnosis architecture; fault isolability conditions; fault isolation scheme; nonlinear systems; nonlinear uncertain systems; sensor faults; Control systems; Fault detection; Fault diagnosis; Intelligent control; Nonlinear control systems; Nonlinear systems; Sensor phenomena and characterization; Sensor systems; Uncertain systems; Wireless sensor networks;
Conference_Titel :
American Control Conference, 2008
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4244-2078-0
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2008.4587169