On a Predictive Maintenance Platform for Production Systems

被引：47

作者：

Efthymiou, K. ^{[1
]}

Papakostas, N. ^{[1
]}

Mourtzis, D. ^{[1
]}

Chryssolouris, G. ^{[1
]}

机构：

[1] Univ Patras, Dept Mech Engn & Aeronaut, Lab Mfg Syst & Automat, Patras 26500, Greece

来源：

45TH CIRP CONFERENCE ON MANUFACTURING SYSTEMS 2012 | 2012年 / 3卷

关键词：

Predictive Maintenance; Prognostics; Knowledge Management; AUGMENTED REALITY; FAULT;

D O I：

10.1016/j.procir.2012.07.039

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Maintenance and support may account for as much as 60 to 75% of the total lifecycle cost of a manufacturing system. This paper presents a review on the predictive maintenance approaches, methods and tools in manufacturing systems and proposes an integrated predictive maintenance platform. This platform consists of three pillars, namely data acquisition and analysis, knowledge management, and a sustainability maintenance dashboard. The first pillar is responsible for data extraction and processing, the second one focuses on the maintenance knowledge modeling and representation and the third pillar provides advisory capabilities on maintenance planning with special emphasis given to environmental and energy performance indicators. (c) 2012 The Authors. Published by Elsevier B.V. Selection and/or peer-review under responsibility of Professor D. Mourtzis and Professor G. Chryssolouris.

引用

页码：221 / 226

页数：6

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