An intelligent reliability centered maintenance analysis system based on case-based reasoning & rule-based reasoning

Artificial intelligence (AI) technologies, such as case-based reasoning (CBR) and rule-based reasoning (RBR), were successfully introduced into RCM analysis process, and an intelligent RCM analysis system (IRCMAS) based on CBR and RBR was developed to aid RCM analysts. The idea for such an intellige...

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Bibliographic Details
Published inAnnual Reliability and Maintainability Symposium, 2005. Proceedings pp. 545 - 549
Main Authors Zhonghua Cheng, Xisheng Jia
Format Conference Proceeding
LanguageEnglish
Published IEEE 2005
Subjects
Artificial intelligence
Defense industry
Educational institutions
Engineering management
Intelligent systems
Maintenance
Military computing
Reliability engineering
Technology management
Weapons
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Summary:Artificial intelligence (AI) technologies, such as case-based reasoning (CBR) and rule-based reasoning (RBR), were successfully introduced into RCM analysis process, and an intelligent RCM analysis system (IRCMAS) based on CBR and RBR was developed to aid RCM analysts. The idea for such an intelligent system 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. The application of the IRCMAS reduces the skill requirement of RCM analysts, shortens the development period of RCM program, and therefore enhances the cost-effectiveness of RCM process. The IRCMAS is substituting the traditional computer aided RCM system (CARCMS) within China's military industry, and is becoming the new generation RCM analysis tool for weapon systems under development.
ISBN:9780780388246
0780388240
ISSN:0149-144X
2577-0993
DOI:10.1109/RAMS.2005.1408419