Title :
An augmented system model for fault detection and identification
Author :
Liu, T.S. ; Liou, J.J.
Author_Institution :
Dept. of Mech. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
Abstract :
An augmented system model is presented for fault detection and identification of systems subject to structured uncertainties and sensor or actuator failures. The generated residual signals, which disclose the failure time and failure profile, are sensitive to faults while insensitive to uncertainties. To derive residual functions, existence conditions and its design procedure are presented. Simulation results show that the proposed method is able to deal with both abrupt and deteriorating bias faults
Keywords :
fault diagnosis; fault location; matrix algebra; state-space methods; transfer functions; uncertain systems; abrupt bias faults; actuator failures; augmented system model; design procedure; deteriorating bias faults; existence conditions; failure profile; failure time; fault detection and identification; residual signals; sensor failures; structured uncertainties; Actuators; Fault detection; Fault diagnosis; Linear systems; Mechanical sensors; Robustness; Sensor phenomena and characterization; Sensor systems; Uncertain systems; Uncertainty;
Conference_Titel :
American Control Conference, Proceedings of the 1995
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2445-5
DOI :
10.1109/ACC.1995.529320
