Wavelet Transform Domain Filter and Its Application in Incipient Fault Prognosis

Abstract:

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Noise is the biggest obstacle that makes the incipient fault prognosis results uncorrected. According to the theories of correlation analysis and threshold de-noising by wavelets, wavelet transform domain filter (WTDF) is constructed. WTDF is an iterative process. By selecting the process parameters adaptively, WTDF can de-noise signal efficiently. More important, the faint component in the signal will become stronger. WTDF method is used to analyze the signals collected from a bearing that has incipient unbalance and misalignment faults. Results show that WTDF is effective for bearing incipient fault prognosis.

Info:

Periodical:

Key Engineering Materials (Volumes 293-294)

Edited by:

W.M. Ostachowicz, J.M. Dulieu-Barton, K.M. Holford, M. Krawczuk and A. Zak

Pages:

127-134

DOI:

10.4028/www.scientific.net/KEM.293-294.127

Citation:

F. C. Li et al., "Wavelet Transform Domain Filter and Its Application in Incipient Fault Prognosis ", Key Engineering Materials, Vols. 293-294, pp. 127-134, 2005

Online since:

September 2005

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Price:

$35.00

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