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Simplified Fuzzy Dynamic Cognitive Maps Applied to the Maintenance Management of Electric Motors

Authors:
Patrick Prieto Soares
Lucas Botoni de Souza
Marcio Mendonca
Ivan Rossato Chrun
Michele Eliza Casagrande Rocha

Keywords: Reliability Centered Maintenance, Management Maintenance, Electric Motors, Fuzzy Cognitive Maps, Quantitative Analysis

Abstract:
Systems and machines must operate under satisfactory conditions to attest to the quality of its production. Using Fuzzy Cognitive Maps based in concepts of the Reliability Centered Maintenance in order to obtain quantitative feedback to support the decision-making process and maintenance strategy, as proposed in this research, one can propose great reliability. This article presents Reliability Centered Maintenance (RCM) through a generic maintenance checklist for electric motors. Through fault and / or fault correction maintenance procedures, a simplified Cognitive Fuzzy Dynamic Map (sDFCM) that will present a quantitative diagnosis offering a computational tool to assist in maintenance management, providing upgrades to the system or machine can model it.

Pages: 48 to 53

Copyright: Copyright (c) IARIA, 2017

Publication date: May 21, 2017

Published in: conference

ISSN: 2308-3913

ISBN: 978-1-61208-555-5

Location: Barcelona, Spain

Dates: from May 21, 2017 to May 25, 2017