Title :
An on-line fault detection scheme for systems with known nonlinear state-space models
Author :
Gómez, E. ; Unbehauen, H.
Author_Institution :
Fac. of Electr. Eng., Ruhr-Univ., Bochum, Germany
fDate :
29 June-1 July 1994
Abstract :
In this paper, a simple scheme for the detection of faults and changes in operating point for processes with well-known nonlinear state-space model will be described. The emphasis will be in the solution of practical problems. A linearized Kalman filter, the statistical t-Test and some decision rules are utilized in the scheme, which is validated in the case of a practical application to a laboratory turbo-generator.
Keywords :
Kalman filters; decision theory; fault diagnosis; fault location; filtering theory; linearisation techniques; nonlinear systems; state-space methods; statistical analysis; decision rules; laboratory turbo-generator; linearized Kalman filter; nonlinear state-space models; online fault detection scheme; operating point changes; statistical t-Test; Automatic control; Electrical fault detection; Failure analysis; Fault detection; Laboratories; Nuclear power generation; Signal generators; Signal processing; Taylor series; White noise;
Conference_Titel :
American Control Conference, 1994
Print_ISBN :
0-7803-1783-1
DOI :
10.1109/ACC.1994.735035
