Title :
A distributed detection scheme for process faults and sensor faults in a class of interconnected nonlinear uncertain systems
Author :
Qi Zhang ; Xiaodong Zhang
Author_Institution :
Dept. of Electr. Eng., Wright State Univ., Dayton, OH, USA
Abstract :
This paper investigates the problem of distributed fault detection in a class of interconnected nonlinear uncertain systems. It significantly extends previous results by considering more general nonlinear systems. Under certain assumptions, a distributed fault detection method is developed, and adaptive thresholds for fault detection is derived, ensuring robustness with respect to interconnections among subsystems and modeling uncertainty. Moreover, the fault detectability conditions are rigorously investigated, characterizing the class of detectable process faults and sensor faults in each subsystem. Additionally, a simulation example is used to illustrate the effectiveness of the proposed distributed fault detection method.
Keywords :
interconnected systems; nonlinear control systems; sensors; uncertain systems; adaptive threshold; distributed fault detection method; interconnected nonlinear uncertain system; modeling uncertainty; process fault; sensor fault; Adaptation models; Fault detection; Fault diagnosis; Nonlinear systems; Uncertain systems; Uncertainty; Vectors;
Conference_Titel :
Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
Conference_Location :
Maui, HI
Print_ISBN :
978-1-4673-2065-8
Electronic_ISBN :
0743-1546
DOI :
10.1109/CDC.2012.6425903