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

被引：0

作者：

Soares, Patrick P. ^{[1
]}

de Souza, Lucas B. ^{[1
]}

Mendonca, Marcio ^{[1
]}

Chrun, Ivan Rossato ^{[2
]}

Rocha, Michelle E. C. ^{[3
]}

机构：

[1] UTFPR CP, DAELE Elect Dept, Cornelio Procopio, Brazil

[2] UTFPR CT, CPGEI, Curitiba, Parana, Brazil

[3] SEJU, Curitiba, Parana, Brazil

来源：

THIRTEENTH INTERNATIONAL CONFERENCE ON AUTONOMIC AND AUTONOMOUS SYSTEMS (ICAS 2017) | 2017年

关键词：

Reliability Centered Maintenance; Management Maintenance; Electric Motors; Fuzzy Cognitive Maps; Quantitative Analysis; ARCHITECTURE;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：48 / 53

页数：6

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