DocumentCode
2428537
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
Volume
3
fYear
1994
fDate
29 June-1 July 1994
Firstpage
2628
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;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 1994
Print_ISBN
0-7803-1783-1
Type
conf
DOI
10.1109/ACC.1994.735035
Filename
735035
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