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Communication Dans Un Congrès Année : 2007

Fault isolation based on wavelets transform

Résumé

This paper evaluates how wavelet analysis can be used to detect and isolate particular faults. The isolation method that is proposed is based on the stationary wavelet transform. The wavelet coefficients allow analysing the signal changes over different scales. Each scale is related to a particular frequency band. Thus when different faults are known to affect different frequencies, the wavelet coefficients can be used to discriminate the faults. Fuzzyfication of the wavelet coefficients is first applied, followed by the fuzzy aggregation of the fuzzyfied coefficients to make the isolation decision easier to compute. Academic examples are discussed to show the powerful of the isolation method presented here.
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Dates et versions

hal-00149847 , version 1 (28-05-2007)

Identifiants

  • HAL Id : hal-00149847 , version 1

Citer

Suzanne Lesecq, Sylviane Gentil, Ioana Fagarasan. Fault isolation based on wavelets transform. CSCS 2007 - 16th International Conference on Control Systems and Computer Science, May 2007, Bucarest, Romania. ⟨hal-00149847⟩
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