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

Volume

1

fYear

1995

fDate

21-23 Jun 1995

Firstpage

602

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;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference, Proceedings of the 1995

Conference_Location

Seattle, WA

Print_ISBN

0-7803-2445-5

Type

conf

DOI

10.1109/ACC.1995.529320

Filename

529320