The automatic selection of an optimal wavelet filter and its enhancement by the new sparsogram for bearing fault detection-Reference-Cited by-同舟云学术

The automatic selection of an optimal wavelet filter and its enhancement by the new sparsogram for bearing fault detection

Published:2013-11 Issue:2 Volume:40 Page:520-544
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Tse Peter W.,Wang Dong

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference30 articles.

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2. Application of mother wavelet functions for automatic gear and bearing fault diagnosis;Rafiee;Expert Syst. Appl.,2010

3. Vibration monitoring of rolling element bearings by the high-frequency resonance rechnique—a review;McFadden;Tribol. Int.,1984

4. Wavelet analysis and envelope detection for rolling element bearing fault diagnosis—their effectiveness and flexibilities;Tse;J. Vib. Acoust.,2001

5. Identification of characteristic components in frequency domain from signal singularities;Miao;Rev. Sci. Instrum.,2010

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