Multi-Modal Joint Pulsed Eddy Current Sensor Signal Denoising Method Integrating Inductive Disturbance Mechanism Article Swipe
Yuhua Zuo
,
Gebiao Hu
,
Fan Gan
,
Zhiwu Zeng
,
Zhichi Lin
,
Xinxun Wang
,
Ruiqing Xu
,
Liang Wen
,
Shubing Hu
,
Haihong Le
,
Rui Yuan Wu
,
Jingang Wang
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3390/s25123830
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3390/s25123830
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.
Related Topics
Concepts
Noise reduction
Noise (video)
SIGNAL (programming language)
Step detection
Filter (signal processing)
Eddy current
Acoustics
Signal-to-noise ratio (imaging)
Electronic engineering
Computer science
Engineering
Artificial intelligence
Physics
Electrical engineering
Telecommunications
Image (mathematics)
Programming language
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/s25123830
- https://www.mdpi.com/1424-8220/25/12/3830/pdf?version=1750341689
- OA Status
- gold
- Cited By
- 2
- References
- 18
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4411466470
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4411466470Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/s25123830Digital Object Identifier
- Title
-
Multi-Modal Joint Pulsed Eddy Current Sensor Signal Denoising Method Integrating Inductive Disturbance MechanismWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-06-19Full publication date if available
- Authors
-
Yuhua Zuo, Gebiao Hu, Fan Gan, Zhiwu Zeng, Zhichi Lin, Xinxun Wang, Ruiqing Xu, Liang Wen, Shubing Hu, Haihong Le, Rui Yuan Wu, Jingang WangList of authors in order
- Landing page
-
https://doi.org/10.3390/s25123830Publisher landing page
- PDF URL
-
https://www.mdpi.com/1424-8220/25/12/3830/pdf?version=1750341689Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/1424-8220/25/12/3830/pdf?version=1750341689Direct OA link when available
- Concepts
-
Noise reduction, Noise (video), SIGNAL (programming language), Step detection, Filter (signal processing), Eddy current, Acoustics, Signal-to-noise ratio (imaging), Electronic engineering, Computer science, Engineering, Artificial intelligence, Physics, Electrical engineering, Telecommunications, Image (mathematics), Programming languageTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2Per-year citation counts (last 5 years)
- References (count)
-
18Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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