Fuzzy early warning systems for condition based maintenance

被引：28

作者：

Vafaei, Nazanin ^{[1
,2
]}

Ribeiro, Rita A. ^{[1
,2
]}

Camarinha-Matos, Luis M. ^{[1
,2
]}

机构：

[1] Univ Nova Lisboa, P-2829516 Caparica, Portugal

[2] Nova Univ Lisbon, Fac Sci & Technol, P-2829516 Caparica, Portugal

来源：

COMPUTERS & INDUSTRIAL ENGINEERING | 2019年 / 128卷

关键词：

Fuzzy early warning system; Decision support; Maintenance; Condition based maintenance; FAULT-DETECTION; PROGNOSTICS; FRAMEWORK; GENERATION; STRATEGIES; SELECTION;

D O I：

10.1016/j.cie.2018.12.056

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Globalization and growing market competitiveness keep pressuring manufacturing firms to reduce costs and increase effectiveness, hence, improving condition based maintenance strategies may contribute to those aims. In this study we present a fuzzy early warning approach for improving pro-active Condition Based Maintenance (CBM) diagnostic strategies. The main objective is to provide early warnings on potential production line breakdowns or other hazardous situations, enabling more informed decisions on maintenance strategies. To demonstrate the approach usefulness, an illustrative example of a car production line is discussed.

引用

页码：736 / 746

页数：11

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