Damage characterization of carbon/carbon laminates using neural network techniques on AE signals

Philippidis, T; Nikolaidis, V; Anastassopoulos, A

dc.contributor.author	Philippidis, T	en
dc.contributor.author	Nikolaidis, V	en
dc.contributor.author	Anastassopoulos, A	en
dc.date.accessioned	2014-03-01T01:46:42Z
dc.date.available	2014-03-01T01:46:42Z
dc.date.issued	1998	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/25002
dc.subject	Acoustic Emission	en
dc.subject	cumulant	en
dc.subject	Failure Mechanism	en
dc.subject	Failure Mode	en
dc.subject	Fracture Mechanic	en
dc.subject	Learning Vector Quantization	en
dc.subject	Neural System	en
dc.subject	Numerical Method	en
dc.subject	Pattern Recognition	en
dc.subject	Structural Integrity	en
dc.subject	Thermal Processing	en
dc.subject	Neural Network	en
dc.title	Damage characterization of carbon/carbon laminates using neural network techniques on AE signals	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/S0963-8695(98)00015-2	en
heal.identifier.secondary	http://dx.doi.org/10.1016/S0963-8695(98)00015-2	en
heal.publicationDate	1998	en
heal.abstract	Carbon/Carbon (C/C) composites have a large number of microcracks in matrix-matrix or fiber-matrix regions resulting from the thermal processes during manufacturing. Although not harmful to the overall structural integrity, such a network of microcracks creates a noisy background from early load application which ‘covers’ the onset of critical failure mechanisms. Conventional AE analysis based on a sudden activity increase observed	en
heal.journalName	Ndt & E International	en
dc.identifier.doi	10.1016/S0963-8695(98)00015-2	en