Selective Maintenance for Multi-state Systems Under Imperfect Maintenance

With the increasing complexity of modern advanced engineering systems, traditional selective maintenance strategies, which are simply designed for binary-state systems, cannot characterize the multi-state nature of systems in many engineering scenarios. Conversely, many maintenance activities can only restore failed/aged components to the condition somewhere between “as good as new” and “as bad as old,” and this is called imperfect maintenance. This chapter introduces a selective maintenance model for multi-state systems with binary-capacitated components under imperfect maintenance. The Kijima type-II age reduction model was utilized to quantify the maintenance efficiency of imperfect maintenance actions. The universal generating function method was used to evaluate the probability of a system successfully completing the next mission. Two illustrative examples were presented to demonstrate the effectiveness of the proposed method.