Multi-Modal Joint Pulsed Eddy Current Sensor Signal Denoising Method Integrating Inductive Disturbance Mechanism

Area of Science:

• Non-Destructive Testing (NDT)
• Electromagnetic Testing
• Signal Processing

Background:

• Pulsed eddy current (PEC) testing is crucial for non-destructive inspection of metal grounding structures.
• Industrial noise severely impacts PEC sensor performance and detection accuracy.
• Existing denoising methods struggle with complex electromagnetic environments.

Purpose of the Study:

• To develop an advanced denoising method for pulsed eddy current signals.
• To improve the accuracy and reliability of PEC testing in noisy industrial settings.
• To propose a multi-modal joint denoising approach integrating inductive disturbance mechanisms.

Main Methods:

• Constructed a fourth-order processing architecture: Improved Whale Optimization-Variational Mode Decomposition-Singular Value Decomposition-Wavelet Threshold Denoising (IWOA-VMD-SVD-WTD).
• Utilized IWOA to optimize VMD parameters (K, α) for adaptive signal decomposition.
• Employed correlation coefficient criteria and SVD-WTD for noise component identification and signal reconstruction.

Main Results:

• The IWOA-VMD-SVD-WTD method achieved significantly higher average signal-to-noise ratios (SNRs) compared to other VMD-based techniques.
• Experimental results showed average SNRs of 24.31 dB, 29.72 dB, and 29.64 dB under varying noise levels.
• Demonstrated superior performance over alternative denoising methods in practical applications, enabling effective noise reduction and feature extraction.

Conclusions:

• The proposed IWOA-VMD-SVD-WTD method offers a robust solution for denoising PEC signals in complex environments.
• This technique enhances the extraction of pure signals, crucial for accurate NDT of metal structures.
• Provides a new technical pathway for reliable pulsed eddy current testing applications.