Wavelet Transform Domain Filter and Its Application in Incipient Fault Prognosis

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Abstract:

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.

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Key Engineering Materials (Volumes 293-294)

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127-134

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September 2005

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© 2005 Trans Tech Publications Ltd. All Rights Reserved

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