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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jiang Yong Wang Ya Ping |
| Copyright Year | 2011 |
| Description | Author affiliation: School of Manufacturing Science and Engineering, Southwest University of Science and Technology, Mianyang, China (Jiang Yong; Wang Ya Ping) |
| Abstract | Wavelet threshold de-noising algorithm is an effective method to remove noise in test signals. Based on the analysis of features presented by useful signals and noise signals in the working process of working bearings, a self-adaption of optimal decomposition level algorithm based on improved threshold wavelet packet to remove related white noise test is proposed. This algorithm can adaptively select the optimal decomposition levels that wavelet transforms according to the features and SNR of noise signals, so as to realize the best de-noising effect. It turns out from the engineering test that this algorithm can fully separate the useful information from the signals. |
| Starting Page | 2522 |
| Ending Page | 2525 |
| File Size | 186225 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781612847191 |
| e-ISBN | 9781612847221 |
| DOI | 10.1109/MEC.2011.6026006 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-08-19 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | White noise test Wavelet packet de-noising Noise reduction White noise Self-adaption Wavelet packets Threshold function Wavelet coefficients |
| Content Type | Text |
| Resource Type | Article |
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