Automatic Quantification of Subsurface Defects by Analyzing Laser Ultrasonic Signals Using Convolutional Neural Networks and Wavelet Transform
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control"
DOI: 10.1109/tuffc.2021.3087949
Abstract: The conventional machine learning algorithm for analyzing ultrasonic signals to detect structural defects necessarily identifies and extracts either time- or frequency-domain features manually, which has problems in reliability and effectiveness. This work proposes a novel… read more here.
Keywords: laser ultrasonic; laser; wavelet transform; ultrasonic signals ... See more keywords
Imaging challenging media by full waveform inversion of ultrasonic signals
Sign Up to like & getrecommendations! Published in 2017 at "Journal of the Acoustical Society of America"
DOI: 10.1121/1.4988500
Abstract: Austenitic welds are important parts of the cooling system in nuclear power plants, which undergo extreme temperature and pressure variations that may cause defects to appear in the welded zone. If not attended, these may… read more here.
Keywords: austenitic welds; full waveform; waveform inversion; ultrasonic signals ... See more keywords