A Denoising Method for Mining Cable PD Signal Based on Genetic Algorithm Optimization of VMD and Wavelet Threshold
When the pulse current method is used for partial discharge (PD) monitoring of mining cables, the detected PD signals are seriously disturbed by the field noise, which are easily submerged in the noise and cannot be extracted. In order to realize the effective separation of the PD signal and the int...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-12-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/22/23/9386 |
| _version_ | 1797462125799538688 |
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| author | Yanwen Wang Peng Chen Yongmei Zhao Yanying Sun |
| author_facet | Yanwen Wang Peng Chen Yongmei Zhao Yanying Sun |
| author_sort | Yanwen Wang |
| collection | DOAJ |
| description | When the pulse current method is used for partial discharge (PD) monitoring of mining cables, the detected PD signals are seriously disturbed by the field noise, which are easily submerged in the noise and cannot be extracted. In order to realize the effective separation of the PD signal and the interference signal of the mining cable and improve the signal-to-noise ratio of the PD signal, a denoising method for the PD signal of the mining cable based on genetic algorithm optimization of variational mode decomposition (VMD) and wavelet threshold is proposed in this paper. Firstly, the genetic algorithm is used to optimize the VMD, and the optimal value of the number of modal components <i>K</i> and the quadratic penalty factor <i>α</i> is determined; secondly, the PD signal is decomposed by the VMD algorithm to obtain <i>K</i> intrinsic mode functions (IMF). Then, wavelet threshold denoising is applied to each IMF, and the denoised IMFs are reconstructed. Finally, the feasibility of the denoising method proposed in this paper is verified by simulation and experiment. |
| first_indexed | 2024-03-09T17:32:04Z |
| format | Article |
| id | doaj.art-929b80dcd9aa4ea7b3049f7acd96453a |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T17:32:04Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-929b80dcd9aa4ea7b3049f7acd96453a2023-11-24T12:13:21ZengMDPI AGSensors1424-82202022-12-012223938610.3390/s22239386A Denoising Method for Mining Cable PD Signal Based on Genetic Algorithm Optimization of VMD and Wavelet ThresholdYanwen Wang0Peng Chen1Yongmei Zhao2Yanying Sun3School of Mechanical, Electronic & Information Engineering, China University of Mining and Technology-Beijing, Beijing 100083, ChinaSchool of Mechanical, Electronic & Information Engineering, China University of Mining and Technology-Beijing, Beijing 100083, ChinaCHN Energy Technology & Economics Research Institute Co., Ltd., Beijing 100083, ChinaSchool of Mechanical, Electronic & Information Engineering, China University of Mining and Technology-Beijing, Beijing 100083, ChinaWhen the pulse current method is used for partial discharge (PD) monitoring of mining cables, the detected PD signals are seriously disturbed by the field noise, which are easily submerged in the noise and cannot be extracted. In order to realize the effective separation of the PD signal and the interference signal of the mining cable and improve the signal-to-noise ratio of the PD signal, a denoising method for the PD signal of the mining cable based on genetic algorithm optimization of variational mode decomposition (VMD) and wavelet threshold is proposed in this paper. Firstly, the genetic algorithm is used to optimize the VMD, and the optimal value of the number of modal components <i>K</i> and the quadratic penalty factor <i>α</i> is determined; secondly, the PD signal is decomposed by the VMD algorithm to obtain <i>K</i> intrinsic mode functions (IMF). Then, wavelet threshold denoising is applied to each IMF, and the denoised IMFs are reconstructed. Finally, the feasibility of the denoising method proposed in this paper is verified by simulation and experiment.https://www.mdpi.com/1424-8220/22/23/9386PD denoisingVMDwavelet thresholdgenetic algorithmmining cables |
| spellingShingle | Yanwen Wang Peng Chen Yongmei Zhao Yanying Sun A Denoising Method for Mining Cable PD Signal Based on Genetic Algorithm Optimization of VMD and Wavelet Threshold Sensors PD denoising VMD wavelet threshold genetic algorithm mining cables |
| title | A Denoising Method for Mining Cable PD Signal Based on Genetic Algorithm Optimization of VMD and Wavelet Threshold |
| title_full | A Denoising Method for Mining Cable PD Signal Based on Genetic Algorithm Optimization of VMD and Wavelet Threshold |
| title_fullStr | A Denoising Method for Mining Cable PD Signal Based on Genetic Algorithm Optimization of VMD and Wavelet Threshold |
| title_full_unstemmed | A Denoising Method for Mining Cable PD Signal Based on Genetic Algorithm Optimization of VMD and Wavelet Threshold |
| title_short | A Denoising Method for Mining Cable PD Signal Based on Genetic Algorithm Optimization of VMD and Wavelet Threshold |
| title_sort | denoising method for mining cable pd signal based on genetic algorithm optimization of vmd and wavelet threshold |
| topic | PD denoising VMD wavelet threshold genetic algorithm mining cables |
| url | https://www.mdpi.com/1424-8220/22/23/9386 |
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