Maitelli, André LaurindoReis, Aderson Jamier Santos2014-12-172011-06-222014-12-172010-02-19REIS, Aderson Jamier Santos. Reconhecimento de padrões de falhas em motores trifásicos utilizando redes neurais. 2010. 88 f. Dissertação (Mestrado em Automação e Sistemas; Engenharia de Computação; Telecomunicações) - Universidade Federal do Rio Grande do Norte, Natal, 2010.https://repositorio.ufrn.br/jspui/handle/123456789/15341This work presents a diagnosis faults system (rotor, stator, and contamination) of three-phase induction motor through equivalent circuit parameters and using techniques patterns recognition. The technology fault diagnostics in engines are evolving and becoming increasingly important in the field of electrical machinery. The neural networks have the ability to classify non-linear relationships between signals through the patterns identification of signals related. It is carried out induction motor´s simulations through the program Matlab R & Simulink R , and produced some faults from modifications in the equivalent circuit parameters. A system is implemented with multiples classifying neural network two neural networks to receive these results and, after well-trained, to accomplish the identification of fault´s patternapplication/pdfAcesso AbertoMotor de induçãoReconhecimento de padrõesRedes neurais artificiaisCircuito equivalenteInduction motorPatterns recognitionArtificial neural networksEquivalent circuitmasterThesisCNPQ::ENGENHARIAS::ENGENHARIA ELETRICA