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

Title
Learning the representation of raw acoustic emission signals by direct generative modelling and its use in chronology-based clusters identification
Authors
Keywords
Acoustic emission, Raw waveform, Model-based clustering, Representation learning, Novelty detection
Journal
Publisher
Elsevier BV
Online
2020-01-23
DOI
10.1016/j.engappai.2020.103478

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