Wavelet Transform Domain Filter and Its Application in Incipient Fault Prognosis |
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| Journal | Key Engineering Materials (Volumes 293 - 294) |
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| Volume | Damage Assessment of Structures VI |
| 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 | Fucai Li et al., 2005, Key Engineering Materials, 293-294, 127 |
| Online since | September, 2005 |
| Authors | Fucai Li, Jin Chen, Gui Cai Zhang, Zheng Jia He |
| Keywords | Correlation Filtering, Denoising, Incipient Fault Prognosis, Wavelet Transform (WT) |
| 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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