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Title of article :
A framework for intelligent reliability centered maintenance analysis
Author/Authors :
Cheng، نويسنده , , Zhonghua and Jia، نويسنده , , Xisheng and Gao، نويسنده , , Ping and Wu، نويسنده , , Su and Wang، نويسنده , , Jianzhao، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2008
Pages :
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Abstract :
To improve the efficiency of reliability-centered maintenance (RCM) analysis, case-based reasoning (CBR), as a kind of artificial intelligence (AI) technology, was successfully introduced into RCM analysis process, and a framework for intelligent RCM analysis (IRCMA) was studied. The idea for IRCMA is based on the fact that the historical records of RCM analysis on similar items can be referenced and used for the current RCM analysis of a new item. Because many common or similar items may exist in the analyzed equipment, the repeated tasks of RCM analysis can be considerably simplified or avoided by revising the similar cases in conducting RCM analysis. Based on the previous theory studies, an intelligent RCM analysis system (IRCMAS) prototype was developed. This research has focused on the description of the definition, basic principles as well as a framework of IRCMA, and discussion of critical techniques in the IRCMA. Finally, IRCMAS prototype is presented based on a case study.
Keywords :
Reliability-Centered Maintenance (RCM) , Case-based reasoning (CBR) , Analysis system
Journal title :
Reliability Engineering and System Safety
Journal title :
Reliability Engineering and System Safety
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