Type : Article de conférence
Auteur(s) :  A.Satour, S. Montresor, M. Bentahar, R. El Guerjouma, F.Boubenider
Année :  2012
Domaine : Mécanique
Conférence: The 3rd International Conference on welding, nondestructive testing and the industry of materials and alloys (ICWNDT-MI'12)
Lieu de la conférence:  Oran, Algeria
Résumé en PDF :  (résumé en pdf)
Fulltext en PDF :  (.pdf)
Mots clés :  soudage, le CND, Industrie des Matériaux et Alliages

Résumé : 

The aim of this work is to introduce a new approach for clustering acoustic emission data occurring during the fracture process of glass fibre reinforced polymer (GFRP) plates. In particular, we have developed signal processing techniques based on continue wavelet transform (CWT) in order to isolate acoustic signature corresponding to each damage mechanism (fibre breakage,matrix cracking, etc.). Entropy criterion was used to provide selection of most significant wavelet coefficients of AE signals. Models are established in the form of dictionaries, whose elements are the waveforms collected during specific experiments in which the created damage mechanisms are well known. Dictionaries should be used to classify acoustic emission signals recorded when polymer composites are under load