Improved Defect Detection of Guided Wave Testing Using Split-Spectrum Processing

Area of Science:

• Non-destructive testing
• Materials science
• Signal processing

Background:

• Ultrasonic guided wave (UGW) testing is crucial for pipeline integrity assessment.
• Signal degradation due to dispersion, multimodal propagation, and high attenuation in coated pipes limits inspection range and sensitivity.
• Identifying small defects in degraded UGW signals is a significant challenge.

Purpose of the Study:

• To introduce and experimentally validate a novel signal processing approach for UGW testing.
• To enhance signal quality and improve the detection of small defects in coated pipes.
• To address the limitations of traditional methods in challenging inspection environments.

Main Methods:

• Implementation of split-spectrum processing (SSP) as an advanced signal processing technique.
• Experimental comparison of the proposed SSP technique with traditional methods for coated pipes.
• Evaluation of signal-to-noise ratio and sensitivity to small defects.

Main Results:

• The SSP technique effectively minimizes background noise and enhances signal quality.
• Experimental results demonstrate a significant increase in the signal-to-noise ratio for coated pipes.
• The proposed method shows enhanced sensitivity to small defects previously obscured by noise.

Conclusions:

• Split-spectrum processing offers a promising solution for improving UGW testing performance on coated pipelines.
• The technique effectively overcomes signal degradation issues, leading to more reliable defect detection.
• This advancement has the potential to increase the effectiveness and range of UGW inspections in industrial applications.