Zhang et al., 2007 - Google Patents
Research on the selection of wavelet function for the feature extraction of shock fault in the bearing diagnosisZhang et al., 2007
- Document ID
- 12352102801675596479
- Author
- Zhang J
- Cui L
- Yao G
- Gao L
- Publication year
- Publication venue
- 2007 International Conference on Wavelet Analysis and Pattern Recognition
External Links
Snippet
For the rolling bearing diagnosis, how to identify the fault feature effectively is the key issue. Due to the resonance modulation characteristic induced by shock fault of the rolling bearings, the wavelet transform technology can extract the modulation information …
- 230000035939 shock 0 title abstract description 19
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