Change Point Detection for Piecewise Envelope Current Signal Based on Wavelet Transform
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,...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/2018/9529870 |
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| _version_ | 1849306351066415104 |
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| author | Haiyan Wang Feng Zhou Chunyang Jiang Ling Qin Huaiqing Zhang |
| author_facet | Haiyan Wang Feng Zhou Chunyang Jiang Ling Qin Huaiqing Zhang |
| author_sort | Haiyan Wang |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-2ebd69a251c54d7da7c7b9d6bd7f22c3 |
| institution | Kabale University |
| issn | 2090-0147 2090-0155 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Electrical and Computer Engineering |
| spelling | doaj-art-2ebd69a251c54d7da7c7b9d6bd7f22c32025-08-20T03:55:07ZengWileyJournal of Electrical and Computer Engineering2090-01472090-01552018-01-01201810.1155/2018/95298709529870Change Point Detection for Piecewise Envelope Current Signal Based on Wavelet TransformHaiyan Wang0Feng Zhou1Chunyang Jiang2Ling Qin3Huaiqing Zhang4China Electric Power Research Institute, Wuhan 430074, ChinaChina Electric Power Research Institute, Wuhan 430074, ChinaChina Electric Power Research Institute, Wuhan 430074, ChinaSchool of Electrical Engineering, Chongqing University, Chongqing 400044, ChinaSchool of Electrical Engineering, Chongqing University, Chongqing 400044, ChinaOne 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.http://dx.doi.org/10.1155/2018/9529870 |
| spellingShingle | Haiyan Wang Feng Zhou Chunyang Jiang Ling Qin Huaiqing Zhang Change Point Detection for Piecewise Envelope Current Signal Based on Wavelet Transform Journal of Electrical and Computer Engineering |
| title | Change Point Detection for Piecewise Envelope Current Signal Based on Wavelet Transform |
| title_full | Change Point Detection for Piecewise Envelope Current Signal Based on Wavelet Transform |
| title_fullStr | Change Point Detection for Piecewise Envelope Current Signal Based on Wavelet Transform |
| title_full_unstemmed | Change Point Detection for Piecewise Envelope Current Signal Based on Wavelet Transform |
| title_short | Change Point Detection for Piecewise Envelope Current Signal Based on Wavelet Transform |
| title_sort | change point detection for piecewise envelope current signal based on wavelet transform |
| url | http://dx.doi.org/10.1155/2018/9529870 |
| work_keys_str_mv | AT haiyanwang changepointdetectionforpiecewiseenvelopecurrentsignalbasedonwavelettransform AT fengzhou changepointdetectionforpiecewiseenvelopecurrentsignalbasedonwavelettransform AT chunyangjiang changepointdetectionforpiecewiseenvelopecurrentsignalbasedonwavelettransform AT lingqin changepointdetectionforpiecewiseenvelopecurrentsignalbasedonwavelettransform AT huaiqingzhang changepointdetectionforpiecewiseenvelopecurrentsignalbasedonwavelettransform |