Defect identification and localization method based on all-fiber photoacoustic non-destructive testing system

Pengyu Zhang; Xuelei Fu; Honghai Wang

doi:10.1117/12.2685508

28 July 2023 Defect identification and localization method based on all-fiber photoacoustic non-destructive testing system

Pengyu Zhang, Xuelei Fu, Honghai Wang

Author Affiliations +

Proceedings Volume 12716, Third International Conference on Digital Signal and Computer Communications (DSCC 2023); 127160O (2023) https://doi.org/10.1117/12.2685508
Event: Third International Conference on Digital Signal and Computer Communications (DSCC 2023), 2023, Xi'an, China

Abstract

The all-fiber photoacoustic system can work properly in the harsh environment of electromagnetic interference and has the potential advantage of achieving a wide range of distributed detection. However, the ultrasound signal of all-fiber system is affected by signal mode mixing, which will have an impact on defect identification and localization, and the time varying filtering based empirical mode decomposition (TVF-EMD) algorithm is used to solve the effect of mode mixing. According to different modes with different signal characteristics, this work proposes a defect identification and localization method based on an all-fiber photoacoustic NDT system. After experimental testing, the method can identify and locate the number and shape of defects in a thin metal plate with a bar-shaped penetration defect of aluminum alloy 6061 of size 50*50*0.1 cm³.

Citation Download Citation

Pengyu Zhang, Xuelei Fu, and Honghai Wang "Defect identification and localization method based on all-fiber photoacoustic non-destructive testing system", Proc. SPIE 12716, Third International Conference on Digital Signal and Computer Communications (DSCC 2023), 127160O (28 July 2023); https://doi.org/10.1117/12.2685508

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