Learning the representation of raw acoustic emission signals by direct generative modelling and its use in chronology-based clusters identification

Acoustic emission (AE) is a passive monitoring technique used for learning about the behaviour of an engineered system. The streaming obtained by continuously recording AE transient signals is treated by a four steps procedure: 1) The detection of salient AE signals by distinguishing noise against n...

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Bibliographic Details

Published in:	Engineering applications of artificial intelligence Vol. 90; p. 103478
Main Authors:	Ramasso, Emmanuel, Butaud, Pauline, Jeannin, Thomas, Sarasini, Fabrizio, Placet, Vincent, Godin, Nathalie, Tirillò, Jacopo, Gabrion, Xavier
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01-04-2020 Elsevier
Subjects:	Acoustic emission Mechanics Model-based clustering Novelty detection Physics Raw waveform Representation learning Representation learning Acoustic emission Raw waveform Novelty detection Model-based clustering
Online Access:	Get full text
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