Open AccessDemonstration of using signal feature extraction and deep learning neural networks with ultrasonic data for detecting challenging discontinuities in composite panels
Author(s) -
John C. Aldrin,
David S. Forsyth
Publication year - 2019
Publication title -
aip conference proceedings
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.177
H-Index - 75
eISSN - 1551-7616
pISSN - 0094-243X
DOI - 10.1063/1.5099716
Subject(s) - classification of discontinuities , artificial intelligence , computer science , ultrasonic sensor , artificial neural network , feature extraction , superposition principle , deep learning , classifier (uml) , pattern recognition (psychology) , raster scan , machine learning , acoustics , mathematics , mathematical analysis , physics
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