Name
Abstract | ||
|---|---|---|
An adaptive selection of wavelet basis is presented in this paper. Based on the constructive theory of orthogonal binary wavelet basis, a parameter expression equation of orthogonal wavelet basis is constructed and a adaptive goal function of de-noised effect is defined. By applying genetic optimization method, the best wavelet basis was obtained, and the correlative arithmetic is presented. Applying the optimal wavelet basis to eliminate noises from signals, and computed the correlation dimension of the de-noised signals as fault feature. Simulation and experiments show that the adaptive wavelet de-noising makes the mechanical fault feature extraction more reliable. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/ICNC.2007.162 | ICNC |
Keywords | Field | DocType |
de-noised effect,genetic algorithm,adaptive selection,optimal wavelet basis,de-noised signal,orthogonal binary wavelet basis,orthogonal wavelet basis,adaptive goal function,adaptive wavelet de-noising,fault feature,wavelet basis,genetics,feature extraction,correlation dimension,wavelet transforms | Orthogonal wavelet,Computer science,Fast wavelet transform,Discrete wavelet transform,Artificial intelligence,Wavelet packet decomposition,Wavelet,Wavelet transform,Mathematical optimization,Pattern recognition,Cascade algorithm,Stationary wavelet transform,Machine learning | Conference |
Volume | ISSN | ISBN |
5 | 2157-9555 | 0-7695-2875-9 |
Citations | PageRank | References |
1 | 0.48 | 1 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhonghui Luo | 1 | 1 | 1.83 |
| Leping Liu | 2 | 5 | 2.33 |