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

Abstract

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.