Multi-Modal Joint Pulsed Eddy Current Sensor Signal Denoising Method Integrating Inductive Disturbance Mechanism
Pulsed eddy current (PEC) testing technology has been widely used in the field of non-destructive testing of metal grounding structures due to its wide-band excitation and response characteristics. However, multi-source noise in industrial environments can significantly degrade the performance of PE...
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| Format: | Article |
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MDPI AG
2025-06-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/25/12/3830 |
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| author | Yun Zuo Gebiao Hu Fan Gan Zhiwu Zeng Zhichi Lin Xinxun Wang Ruiqing Xu Liang Wen Shubing Hu Haihong Le Runze Wu Jingang Wang |
| author_facet | Yun Zuo Gebiao Hu Fan Gan Zhiwu Zeng Zhichi Lin Xinxun Wang Ruiqing Xu Liang Wen Shubing Hu Haihong Le Runze Wu Jingang Wang |
| author_sort | Yun Zuo |
| collection | DOAJ |
| description | Pulsed eddy current (PEC) testing technology has been widely used in the field of non-destructive testing of metal grounding structures due to its wide-band excitation and response characteristics. However, multi-source noise in industrial environments can significantly degrade the performance of PEC sensors, thereby limiting their detection accuracy. This study proposes a multi-modal joint pulsed eddy current signal sensor denoising method that integrates the inductive disturbance mechanism. This method constructs the Improved Whale Optimization -Variational Mode Decomposition-Singular Value Decomposition-Wavelet Threshold Denoising (IWOA-VMD-SVD-WTD) fourth-order processing architecture: IWOA adaptively optimizes the VMD essential variables (K, α) and employs the optimized VMD to decompose the perception coefficient (IMF) of the PEC signal. It utilizes the correlation coefficient criterion to filter and identify the primary noise components within the signal, and the SVD-WTD joint denoising model is established to reconstruct each component to remove the noise signal received by the PEC sensor. To ascertain the efficacy of this approach, we compared the IWOA-VMD-SVD-WTD method with other denoising methods under three different noise levels through experiments. The test results show that compared with other VMD-based denoising techniques, the average signal-to-noise ratio (SNR) of the PEC signal received by the receiving coil for 200 noise signals in different noise environments is 24.31 dB, 29.72 dB and 29.64 dB, respectively. The average SNR of the other two denoising techniques in different noise environments is 15.48 dB, 18.87 dB, 18.46 dB and 19.32 dB, 27.13 dB, 26.78 dB, respectively, which is significantly better than other denoising methods. In addition, in practical applications, this method is better than other technologies in denoising PEC signals and successfully achieves noise reduction and signal feature extraction. This study provides a new technical solution for extracting pure and impurity-free PEC signals in complex electromagnetic environments. |
| format | Article |
| id | doaj-art-852908d87cd341fba84665c489ebdf61 |
| institution | Kabale University |
| issn | 1424-8220 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-852908d87cd341fba84665c489ebdf612025-08-20T03:27:26ZengMDPI AGSensors1424-82202025-06-012512383010.3390/s25123830Multi-Modal Joint Pulsed Eddy Current Sensor Signal Denoising Method Integrating Inductive Disturbance MechanismYun Zuo0Gebiao Hu1Fan Gan2Zhiwu Zeng3Zhichi Lin4Xinxun Wang5Ruiqing Xu6Liang Wen7Shubing Hu8Haihong Le9Runze Wu10Jingang Wang11Construction Branch State Grid Jiangxi Electric Power Co., Ltd., Nanchang 330036, ChinaConstruction Branch State Grid Jiangxi Electric Power Co., Ltd., Nanchang 330036, ChinaConstruction Branch State Grid Jiangxi Electric Power Co., Ltd., Nanchang 330036, ChinaConstruction Branch State Grid Jiangxi Electric Power Co., Ltd., Nanchang 330036, ChinaConstruction Branch State Grid Jiangxi Electric Power Co., Ltd., Nanchang 330036, ChinaConstruction Branch State Grid Jiangxi Electric Power Co., Ltd., Nanchang 330036, ChinaConstruction Branch State Grid Jiangxi Electric Power Co., Ltd., Nanchang 330036, ChinaYichun Power Supply Branch of State Grid Jiangxi Electric Power Co., Ltd., Yichun 336000, ChinaChina Power Construction Group Jiangxi Electric Power Design Institute Co., Ltd., Nanchang 330046, ChinaChina Power Construction Group Jiangxi Electric Power Design Institute Co., Ltd., Nanchang 330046, ChinaState Key Laboratory of Power Transmission Equipment Technology, School of Electrical Engineering, Chongqing University, Chongqing 400044, ChinaState Key Laboratory of Power Transmission Equipment Technology, School of Electrical Engineering, Chongqing University, Chongqing 400044, ChinaPulsed eddy current (PEC) testing technology has been widely used in the field of non-destructive testing of metal grounding structures due to its wide-band excitation and response characteristics. However, multi-source noise in industrial environments can significantly degrade the performance of PEC sensors, thereby limiting their detection accuracy. This study proposes a multi-modal joint pulsed eddy current signal sensor denoising method that integrates the inductive disturbance mechanism. This method constructs the Improved Whale Optimization -Variational Mode Decomposition-Singular Value Decomposition-Wavelet Threshold Denoising (IWOA-VMD-SVD-WTD) fourth-order processing architecture: IWOA adaptively optimizes the VMD essential variables (K, α) and employs the optimized VMD to decompose the perception coefficient (IMF) of the PEC signal. It utilizes the correlation coefficient criterion to filter and identify the primary noise components within the signal, and the SVD-WTD joint denoising model is established to reconstruct each component to remove the noise signal received by the PEC sensor. To ascertain the efficacy of this approach, we compared the IWOA-VMD-SVD-WTD method with other denoising methods under three different noise levels through experiments. The test results show that compared with other VMD-based denoising techniques, the average signal-to-noise ratio (SNR) of the PEC signal received by the receiving coil for 200 noise signals in different noise environments is 24.31 dB, 29.72 dB and 29.64 dB, respectively. The average SNR of the other two denoising techniques in different noise environments is 15.48 dB, 18.87 dB, 18.46 dB and 19.32 dB, 27.13 dB, 26.78 dB, respectively, which is significantly better than other denoising methods. In addition, in practical applications, this method is better than other technologies in denoising PEC signals and successfully achieves noise reduction and signal feature extraction. This study provides a new technical solution for extracting pure and impurity-free PEC signals in complex electromagnetic environments.https://www.mdpi.com/1424-8220/25/12/3830pulsed eddy current signalimproved whale optimizationinductive disturbance mechanismsensor signal processingIWOA-VMD-SVD-WTD |
| spellingShingle | Yun Zuo Gebiao Hu Fan Gan Zhiwu Zeng Zhichi Lin Xinxun Wang Ruiqing Xu Liang Wen Shubing Hu Haihong Le Runze Wu Jingang Wang Multi-Modal Joint Pulsed Eddy Current Sensor Signal Denoising Method Integrating Inductive Disturbance Mechanism Sensors pulsed eddy current signal improved whale optimization inductive disturbance mechanism sensor signal processing IWOA-VMD-SVD-WTD |
| title | Multi-Modal Joint Pulsed Eddy Current Sensor Signal Denoising Method Integrating Inductive Disturbance Mechanism |
| title_full | Multi-Modal Joint Pulsed Eddy Current Sensor Signal Denoising Method Integrating Inductive Disturbance Mechanism |
| title_fullStr | Multi-Modal Joint Pulsed Eddy Current Sensor Signal Denoising Method Integrating Inductive Disturbance Mechanism |
| title_full_unstemmed | Multi-Modal Joint Pulsed Eddy Current Sensor Signal Denoising Method Integrating Inductive Disturbance Mechanism |
| title_short | Multi-Modal Joint Pulsed Eddy Current Sensor Signal Denoising Method Integrating Inductive Disturbance Mechanism |
| title_sort | multi modal joint pulsed eddy current sensor signal denoising method integrating inductive disturbance mechanism |
| topic | pulsed eddy current signal improved whale optimization inductive disturbance mechanism sensor signal processing IWOA-VMD-SVD-WTD |
| url | https://www.mdpi.com/1424-8220/25/12/3830 |
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