Acoustic emission signatures of damage mechanisms occuring during fatigue tests on CMC. Unsupervised and supervised classification of AE data - Université Claude Bernard Lyon 1 Accéder directement au contenu
Article Dans Une Revue Revue des composites et des matériaux avancés = Journal of Composite and Advanced Materials Année : 2013

Acoustic emission signatures of damage mechanisms occuring during fatigue tests on CMC. Unsupervised and supervised classification of AE data

Identification de la signature acoustique des différents mécanismes d'endommagement lors d'essais de fatigue sur CMC. Application de classificateurs supervisé et non supervisé

Résumé

The intent of this paper is to identify the damage phenomena controlling the life of composites at high temperatures (> 600°C), and to measure the kinetics of these phenomena during mechanical tests. The analysis of AE data provides a classification into groups of signals having similar characteristics that can be afterward associated to one or to several damage mechanisms. A method of unsupervised classification was used to differentiate the signals resulting from various mechanisms of damage and from failures. Then, a method of supervised classification was developed, so as to establish a classification in real-time whatever the temperature, the applied constraint and the mode loading (static or cyclic).

Dates et versions

hal-01854814 , version 1 (07-08-2018)

Licence

Paternité - Pas d'utilisation commerciale

Identifiants

Citer

Nathalie Godin, Stéphanie Deschanel, Mohamed R'Mili, Pascal Reynaud, J. Lamon, et al.. Acoustic emission signatures of damage mechanisms occuring during fatigue tests on CMC. Unsupervised and supervised classification of AE data. Revue des composites et des matériaux avancés = Journal of Composite and Advanced Materials, 2013, 23 (1), pp.85-98. ⟨10.3166/RCMA.23.85-98⟩. ⟨hal-01854814⟩
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