Fault Isolation Based on Wavelet Transform
- Authors
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Suzanne Lesecq
Control Systems Department, Gipsa-lab
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Sylviane Gentil
Control Systems Department, Gipsa-lab
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Ioana Fagarasan
Faculty of Automatic Control and Computers, University "POLITEHNICA" of Bucharest
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- Abstract
- This paper evaluates how wavelet transform can be used to detect and isolate particular faults. The diagnostic method that is proposed is based on the stationary wavelet transform. The wavelet coefficients allow analysing the signal changes over different scales. Therefore, fault detection can be performed. Each scale is related to a particular frequency band. Thus if various faults are known to affect different frequency bands, the wavelet coefficients can be used to isolate the faults. Fuzzyfication of the wavelet coefficients is first applied, followed by the fuzzy aggregation of the fuzzyfied coefficients to make the isolation decision easy to compute and gradual. Academic examples are discussed to show the efficiency of the isolation method presented here.
- References
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- Published
- 2007-12-31
- Issue
- Vol. 9 No. 3,4 (2007)
- Section
- Articles