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Laser Ultrasound Inspection Based on Wavelet Transform and Data Clustering for Defect Estimation in Metallic Samples

Author
Mohamed Selim, H.; Delgado Prieto, M.; Trull, J.; Romeral, L.; Cojocaru, C.
Type of activity
Journal article
Journal
Sensors
Date of publication
2019-01-30
Volume
19
Number
3
First page
573-1
Last page
573-12
DOI
https://doi.org/10.3390/s19030573 Open in new window
Project funding
Fault Tolerant Powertrain based on multiphase PMa_SynRM driven by a SiC inverter for a reliable Electric Vehicle operation
Light waves in crystals, structured media and metamaterials
Repository
http://hdl.handle.net/2117/129061 Open in new window
URL
https://www.mdpi.com/1424-8220/19/3/573 Open in new window
Abstract
Laser-generated ultrasound is a modern non-destructive testing technique. It has been investigated over recent years as an alternative to classical ultrasonic methods, mainly in industrial maintenance and quality control procedures. In this study, the detection and reconstruction of internal defects in a metallic sample is performed by means of a time-frequency analysis of ultrasonic waves generated by a laser-induced thermal mechanism. In the proposed methodology, we used wavelet transform due ...
Citation
Mohamed Selim, H. [et al.]. Laser Ultrasound Inspection Based on Wavelet Transform and Data Clustering for Defect Estimation in Metallic Samples. "Sensors", 30 Gener 2019, vol. 19, núm. 3, p. 573-1-573-12.
Keywords
Laser ultrasound, damage visualization, non-destructive testing, spectral signal processing, time of flight, ultrasound propagation, wavelet transform
Group of research
DONLL - Nonlinear dynamics, nonlinear optics and lasers
MCIA - Motion Control and Industrial Applications Research Group
PERC-UPC - Power Electronics Research Centre

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