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针对实际装备维修工程中系统不能“修如新”以及修后工作时间逐渐缩短的情况,基于Gamma过程建立劣化系统的视情维修(CBM)模型,以定期检测的方式获知系统状态。当系统劣化状态超过预定阈值时采取预防性维修,维修后系统恢复至“如新”与“如旧”之间的某一随机状态;经过若干次预防性维修后,当劣化状态再次超过维修阈值时则进行预防性更换;在对系统进行预防性维修或更换之前若发生劣化故障,则进行故障后更换;通过对检测周期和更换策略联合优化,使得系统长期运行费用率最低。最后通过算例说明CBM模型的可行性,并利用Monte Carlo算法仿真验证模型的正确性。
In view of the fact that the system can not be “repaired as new” and the working hours are shortened after the repair, the CBM model of deteriorating system is established based on the Gamma process, and the system status is obtained through regular testing. Preventive maintenance is taken when the system degraded state exceeds a predetermined threshold, the system is restored to a random state between “new” and “old” after maintenance; after a number of preventative maintenance, When the maintenance threshold is exceeded again, preventive replacement is performed. If there is a deterioration fault before the preventive maintenance or replacement of the system, the fault is replaced after the fault. By jointly optimizing the detection cycle and the replacement strategy, the system long-term operation cost ratio is the lowest. Finally, an example is given to illustrate the feasibility of the CBM model. Monte Carlo simulation is used to verify the correctness of the model.