Paper Title:
Wavelet Transform Domain Filter and Its Application in Incipient Fault Prognosis
  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.

  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, J. Chen, G. C. Zhang, Z. J. He, "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
$32.00
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