DocumentCode :
3419966
Title :
Integrated design approach of fault detection systems based on wavelet transform
Author :
Ye, Hao ; Sing, S.X. ; Wang, Guizeng
Author_Institution :
Dept. of Autom., Tsinghua Univ., Beijing, China
Volume :
2
fYear :
2001
fDate :
2001
Firstpage :
1771
Abstract :
Problems related to the integrated design of robust fault detection (FD) systems are studied. Firstly, a problem of the 2-norm based approaches is discussed, i.e. due to the necessary length of the time window introduced to realize the 2-norm based residual evaluation function of a FD system, the expected optimal performance of the FD system may not be achieved when the system is realized in real applications. Then a new kind of evaluation function based on the absolute value of the wavelet transform (WT) of the residual signal and the corresponding integrated design approach for the FD systems are proposed. Different from the usual 2-norm based approaches whose mathematical basis is the relationship between the whole energy of the output and input signal of a dynamic system, a relationship between the instant power of the WT of the output signal and the energy of the past input signal of a dynamic system is established and further used for the FD system design. It solves the problem in the 2-norm based method, and the resulting FD system is easy to implement, and can detect faults very rapidly with a low miss detection ratio
Keywords :
fault diagnosis; observers; signal processing; wavelet transforms; 2-norm based approaches; expected optimal performance; fault detection systems; integrated design approach; observer based approach; residual evaluation function; residual signal; robustness; wavelet transform; Automation; Electrical fault detection; Fault detection; Fault diagnosis; Fourier transforms; Frequency domain analysis; Robustness; Signal design; Signal resolution; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2001. Proceedings of the 2001
Conference_Location :
Arlington, VA
ISSN :
0743-1619
Print_ISBN :
0-7803-6495-3
Type :
conf
DOI :
10.1109/ACC.2001.945988
Filename :
945988
Link To Document :
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