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Enhanced Electromagnetic Ultrasonic Thickness Measurement with Adaptive Denoising and BVAR Spectral Extrapolation.
Lijun Ma1,2, Xiaoqiang Guo1, Shijian Zhou2
1Hunan Industrial Equipment Installation Co., Ltd., Changsha 410007, China.
Sensors (Basel, Switzerland)
|January 10, 2026
Summary
Electromagnetic ultrasonic testing for harsh environments is improved with a new Adaptive Denoising with Bayesian Vector Autoregressive (AD-BVAR) method. This technique enhances accuracy by reducing noise and extrapolating signals, outperforming traditional methods.
Area of Science:
- Materials Science
- Non-destructive Testing
- Signal Processing
Background:
- Electromagnetic ultrasonic testing offers couplant-free, non-contact thickness measurement ideal for harsh industrial settings.
- Accuracy is limited by low signal-to-noise ratio and restricted signal bandwidth.
- Existing methods struggle with precision in challenging environments.
Purpose of the Study:
- To develop an advanced electromagnetic ultrasonic thickness measurement method for improved accuracy.
- To overcome the limitations of signal bandwidth and noise in harsh industrial environments.
- To enhance signal reconstruction for precise thickness determination.
Main Methods:
- Adaptive Denoising with Bayesian Vector Autoregressive (AD-BVAR) spectral extrapolation.
- Particle Swarm Optimization (PSO) for Variational Mode Decomposition (VMD) parameter optimization.
- Singular Value Decomposition (SVD) for adaptive signal denoising.
- Bayesian Vector Autoregressive (BVAR) model for robust spectral extrapolation.
Main Results:
- Achieved significantly reduced error rates of 0.267% (3 mm) and 0.240% (12.5 mm) on step blocks.
- Outperformed the conventional Autoregressive (AR) method, which had errors of 0.767% and 0.560%.
- Demonstrated stable performance across varying material thicknesses.
Conclusions:
- The proposed AD-BVAR method substantially enhances the accuracy of electromagnetic ultrasonic thickness measurements.
- This technique provides a robust solution for thickness gauging in demanding industrial applications.
- The method offers a significant improvement over conventional approaches, ensuring reliable measurements.
