Goncalves, Valdeci Donizete [UNESP]de Almeida, Luis FernandoMathias, Mauro Hugo [UNESP]2014-05-202014-05-202010-04-01Strojniski Vestnik-Journal of Mechanical Engineering. Ljubljana: Assoc Mechanical Engineers Technicians Slovenia, v. 56, n. 4, p. 277-281, 2010.0039-2480http://hdl.handle.net/11449/9487This paper describes a method of identifying morphological attributes that classify wear particles in relation to the wear process from which they originate and permit the automatic identification without human expertise. The method is based on the use of Multi Layer Perceptron (MLP) for analysis of specific types of microscopic wear particles. The classification of the wear particles was performed according to their morphological attributes of size and aspect ratio, among others. (C) 2010 Journal of Mechanical Engineering. All rights reserved.277-281engartificial neural networkwear particles analysisexpert systemArtigoWOS:000279265400008Acesso restrito9074899537066812