Clustering of acoustic emission signals collected during tensile tests on unidirectional glass/polyester composite using supervised and unsupervised classifiers

By N. Godin, S. Huguet, R. Gaertner, L. Salmon. 2004

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Non-destructive testing and evaluation of composite materials/structures: A state-of-the-art review (2020, background): “A common approach is to analyse multiple parameters to complement the damage analysis, such as cumulated event counts [58,59], energy [60], duration [61], or frequency of the received amplitude signals [62].”
Fracture mode identification in cementitious materials using supervised pattern recognition of acoustic emission features (2014, methodology): “It has been used to either understand the underlying source of mechanism or to define criteria for probabilistic decision making [2,12–18].”