Feature Extraction of Ultrasonic Guided Wave Weld Detection Based on Group Sparse Wavelet Transform with Tunable Q-Factor

Measurement(2022)

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摘要
•The GS-TQWT UGW defect features extraction model is proposed.•A simulation signal conforming to the characteristics of UGW is constructed.•The adaptive parameters selection of the GS-TQWT model is completed.•The non-convex penalty function is used for optimization.
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关键词
Ultrasonic guided wave,Weld defect detection,Defect features extraction,Wavelet transform,Group sparse
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