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SIMPel: Sistema Inteligente Híbrido para Apoio a Manutenção Preditiva em Equipamentos Lubrificados

Fabiano Losilla de CarvalhoVeronica Oliveira de Carvalho

Aiming to improve productivity ALL, as many other companies, has sought to improve its predictive maintenance processes to ensure equipment availability. Such maintenance is performed on lubricated equipments through oil analysis and other information about the equipment. However, obtaining a consistent diagnosis is laborious due to the amount of rules and conditions in- volved. Therefore, this article presents the SIMPel, a hybrid intelligent system, based on fuzzy set theory and expert systems, that automates the diagnosis of maintenance of ALL's lubricated equipments. The system is in use, and presented an excellent performance in tests.

http://www.lbd.dcc.ufmg.br/colecoes/enia/2011/0041.pdf

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Biblioteca Digital Brasileira de Computação - Contato: bdbcomp@lbd.dcc.ufmg.br
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