A Decision-Making Model of Condition-Based Maintenance About Functionally Significant Instrument

Condition based maintenance (CBM) of functionally significant instruments (FSI) is critical for the reliable operation of the whole equipment. Based on the present moment and history monitoring information, a decision-making model of condition-based maintenance about FSI is established by WPHM (Weibull Proportional Hazards Model). Failure risk management is the decision-making target of the model. Through controlling the range of the failure risk, the result of the inspection interval of CBM can be acquired. Because of its favorable global search ability, genetic algorithm is used in parameter estimation to avoid the influence of the initial parameter value on the result of estimation. The decision-making result of engine shows that the model works well and effectively.