Name
Title | ||
|---|---|---|
Change Point Detection for Piecewise Envelope Current Signal Based on Wavelet Transform. |
Abstract | ||
|---|---|---|
One of the key issues of the accurate parameters analysis for the piecewise envelope current signal is to position the change point precisely. Discrete wavelet transform (DWT) modulus maxima method can detect change point, but the detection window of DWT will cause suspicious change point. Besides, the amount of calculated data is very large in actual process of envelope current signal. Therefore, in this paper, the envelope is used instead of the original sampling data for DWT so as to reduce the calculation amount. What is more, combined with the sliding dislocation window method, the change point can be located accurately and the pseudo-change point can be eliminated. The simulation results as well as the electric locomotive current and forging machine current examples show that it is feasible to detect the change point precisely through the proposed method, which provides possibilities for real-time online monitoring of change point. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1155/2018/9529870 | JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING |
Field | DocType | Volume |
Change detection,Computer science,Algorithm,Electronic engineering,Forging,Discrete wavelet transform,Sampling (statistics),Electric locomotive,Dislocation,Piecewise,Wavelet transform | Journal | 2018 |
ISSN | Citations | PageRank |
2090-0147 | 1 | 0.35 |
References | Authors | |
2 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Haiyan Wang | 1 | 39 | 16.48 |
| Feng Zhou | 2 | 1 | 0.35 |
| Chunyang Jiang | 3 | 1 | 0.69 |
| Ling Qin | 4 | 10 | 4.34 |
| Huaiqing Zhang | 5 | 5 | 5.52 |