Mapas Cognitivos Fuzzy Dinâmicos Aplicados na Manutenção Centrada em Confiabilidade de Motores Elétricos (Dynamic Fuzzy Cognitive Maps Applied in Realibility Centered Maintanance of Electric Motors)

Márcio Mendonça (, Ivan Rossato Chun (, Michelle Eliza Casagrande Rocha (

1Universidade Tecnológica Federal do Paraná - Campus Cornélio Procópio
2Universidade Tecnológica Federal do Paraná - Campus Curitiba
3Secretaria de Estado da Justiça, Cidadania e Direitos Humanos

This paper appears in: Revista IEEE América Latina

Publication Date: May 2017
Volume: 15,   Issue: 5 
ISSN: 1548-0992

The industry has systems and machines that need to operate within appropriate parameters to ensure quality in production. In this context it is necessary to maintain, through maintenance, the conditions necessary for proper operation. Thus, through the Reliability Centered Maintenance with quantitative feedback by Fuzzy Cognitive Maps applied to electric motors, can suggest a better reliability, proposal of this research. This paper discusses the Reliability Centered Maintenance (RCM) with reference to a generic Check list of electric motors' maintenance. Through the maintenance actions for correction of faults and/or defects, it can be modeled a critical and qualitative FCM that will present a quantitative diagnosis aimed at a proposal for a computational tool to assist in the maintenance management, adding improvements to the system

Index Terms:
Realibility Centered Maintanance, Electric Motors, Fuzzy Cognitive Maps, Quantitative Analysis.   

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