A framework for effective management of condition based maintenance programs in the context of industrial development of E-Maintenance strategies

被引:59
作者
Guillen, Antonio J. [1 ]
Crespo, Adolfo [1 ]
Fco. Gomez, Juan [1 ]
Dolores Sanz, Maria [1 ]
机构
[1] Univ Seville, Dept Ind Management, Sch Engn, Seville 41092, Spain
关键词
CBM management; E-maintenance; Failure Mode Symptom Analysis (FMSA); Detection; Diagnosis; Prognosis; SYSTEMS; RELIABILITY; PROGNOSTICS; INTEGRATION;
D O I
10.1016/j.compind.2016.07.003
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
CBM (Condition Based Maintenance) solutions are increasingly present in industrial systems due to two main circumstances: rapid evolution, without precedents, in the capture and analysis of data and significant cost reduction of supporting technologies. CBM programs in industrial systems can become extremely complex, especially when considering the effective introduction of new capabilities provided by PHM (Prognostics and Health Management) and E-maintenance disciplines. In this scenario, any CBM solution involves the management of numerous technical aspects, that the maintenance manager needs to understand, in order to be implemented properly and effectively, according to the company's strategy. This paper provides a comprehensive representation of the key components of a generic CBM solution, this is presented using a framework or supporting structure for an effective management of the. CBM programs. The concept "symptom of failure", its corresponding analysis techniques (introduced by ISO 13379-1 and linked with RCM/FMEA analysis), and other international standard for CBM open-software application development (for instance, ISO 13374 and OSA-CBM), are used in the paper for the development of the framework. An original template has been developed, adopting the formal structure of RCM analysis templates, to integrate the information of the PHM techniques used to capture the failure mode behaviour and to manage maintenance. Finally, a case study describes the framework using the referred template. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:170 / 185
页数:16
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