Decision-Making Support Systems for Reliability-Centered Maintenance

Automatic Identification of Maintenance Significant Items in Reliability Centered Maintenance Analysis by Using Functional Modeling and Reasoning

“…Fonseca and Knapp (2000) develop a computerized RCM framework, which adapts fuzzy reasoning to assess risk involved in each failure mode, and uses an optimized decision tree that not only considers the relevancy of failure effects but also the likelihood of occurrence to prioritize failure modes. Shimizu et al (1993) optimize one of the major RCM steps, i.e. logic tree analysis (LTA) to determine the equipment/failure mode category, and develop an RCM decision support system with the modified LTA.…”

A knowledge‐based system for preventive maintenance

“…This last subsystem represents an intelligent knowledgebased system designed to provide improved maintenance guidance on preventive maintenance intervals, tasks and inspection techniques based on the analyses yielded by the other two subsystems (Shimizu et al, 1993). IMOS, a prototype intelligent maintenance optimization system, was developed to assist in the evaluation and enhancement of maintenance routines.…”