Research on signal processing method of mine wire rope damage detectio

When using electromagnetic detection method to detect the damage of mine wire rope, the detection signal contains a lot of noise. Moreover, there are spikes and mutations interference, which increase the difficulty of damage identification. Therefore, it is necessary to reduce the noise of the origi...

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Main Authors: WANG Hongyao, WU Jiaqi, LI Changheng, TANG Wenjin, ZHANG Yanlin
Format: Article
Language:zho
Published: Editorial Department of Industry and Mine Automation 2021-02-01
Series:Gong-kuang zidonghua
Subjects:
Online Access:http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.17677
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author WANG Hongyao
WU Jiaqi
LI Changheng
TANG Wenjin
ZHANG Yanlin
author_facet WANG Hongyao
WU Jiaqi
LI Changheng
TANG Wenjin
ZHANG Yanlin
author_sort WANG Hongyao
collection DOAJ
description When using electromagnetic detection method to detect the damage of mine wire rope, the detection signal contains a lot of noise. Moreover, there are spikes and mutations interference, which increase the difficulty of damage identification. Therefore, it is necessary to reduce the noise of the original detection signal. The commonly used Fourier transform cannot process the operating wire rope detection signal. The wavelet transform has problems of poor translation invariance and frequency aliasing, which affect the detection accuracy. This paper proposes a method for mine wire rope damage detection based on dual-tree complex wavelet transform. Firstly, a dual-tree complex wavelet high and low pass filter is constructed by Q-shift method, and the original signal is decomposed by 3-layer dual-tree complex wavelet to obtain the high and low frequency signal components. Secondly, a soft threshold method with minimax variance is used to reduce the noise of the decomposed signal. Finally, the noise reduction signal is reconstructed. A wire rope damage detection test platform is built in the laboratory environment to verify the noise reduction performance of the wire rope damage detection signal processing method based on dual-tree complex wavelet transform. The results show that the method can reduce the number of spikes and mutations in the detection signal effectively and make the signal stable. The noise reduction effect is better than that of classical wavelet transform. The method increases the signal peak value at the singularity point, which is beneficial to the subsequent feature extraction.
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spelling doaj.art-882f447b1f6d4fe2bbfef1be13ce47592022-12-21T18:34:19ZzhoEditorial Department of Industry and Mine AutomationGong-kuang zidonghua1671-251X2021-02-01472586210.13272/j.issn.1671-251x.17677Research on signal processing method of mine wire rope damage detectioWANG HongyaoWU JiaqiLI ChanghengTANG WenjinZHANG YanlinWhen using electromagnetic detection method to detect the damage of mine wire rope, the detection signal contains a lot of noise. Moreover, there are spikes and mutations interference, which increase the difficulty of damage identification. Therefore, it is necessary to reduce the noise of the original detection signal. The commonly used Fourier transform cannot process the operating wire rope detection signal. The wavelet transform has problems of poor translation invariance and frequency aliasing, which affect the detection accuracy. This paper proposes a method for mine wire rope damage detection based on dual-tree complex wavelet transform. Firstly, a dual-tree complex wavelet high and low pass filter is constructed by Q-shift method, and the original signal is decomposed by 3-layer dual-tree complex wavelet to obtain the high and low frequency signal components. Secondly, a soft threshold method with minimax variance is used to reduce the noise of the decomposed signal. Finally, the noise reduction signal is reconstructed. A wire rope damage detection test platform is built in the laboratory environment to verify the noise reduction performance of the wire rope damage detection signal processing method based on dual-tree complex wavelet transform. The results show that the method can reduce the number of spikes and mutations in the detection signal effectively and make the signal stable. The noise reduction effect is better than that of classical wavelet transform. The method increases the signal peak value at the singularity point, which is beneficial to the subsequent feature extraction.http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.17677mine wire ropewire rope damage detectionelectromagnetic detection methodsignal noise reductionwavelet transformdual-tree complex wavelet transform
spellingShingle WANG Hongyao
WU Jiaqi
LI Changheng
TANG Wenjin
ZHANG Yanlin
Research on signal processing method of mine wire rope damage detectio
Gong-kuang zidonghua
mine wire rope
wire rope damage detection
electromagnetic detection method
signal noise reduction
wavelet transform
dual-tree complex wavelet transform
title Research on signal processing method of mine wire rope damage detectio
title_full Research on signal processing method of mine wire rope damage detectio
title_fullStr Research on signal processing method of mine wire rope damage detectio
title_full_unstemmed Research on signal processing method of mine wire rope damage detectio
title_short Research on signal processing method of mine wire rope damage detectio
title_sort research on signal processing method of mine wire rope damage detectio
topic mine wire rope
wire rope damage detection
electromagnetic detection method
signal noise reduction
wavelet transform
dual-tree complex wavelet transform
url http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.17677
work_keys_str_mv AT wanghongyao researchonsignalprocessingmethodofminewireropedamagedetectio
AT wujiaqi researchonsignalprocessingmethodofminewireropedamagedetectio
AT lichangheng researchonsignalprocessingmethodofminewireropedamagedetectio
AT tangwenjin researchonsignalprocessingmethodofminewireropedamagedetectio
AT zhangyanlin researchonsignalprocessingmethodofminewireropedamagedetectio