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针对部件间存在性能相关性和经济相关性的多态系统,提出了基于机会策略的多态系统视情更换维修决策方法。采用Markov模型描述部件的衰退过程,利用通用生成函数对系统的可靠性指标进行分析,以机会策略为基础,从“部件级更换的角度”出发,提出了一种新的多态系统视情更换维修决策方法,确保系统在有限服役期内,获得最大经济效益。并以某雷达功率放大系统的更换维修决策为例进行分析,该方法在考虑部件间经济相关性的同时,一定程度上减少了总的维修次数,提高了装备系统的战场保障能力,具有很强的通用性和工程应用价值。
Aiming at the polymorphic system with performance dependency and economic dependency among components, a decision-making method based on opportunity strategy for changing and maintaining state-of-the-art multi-state systems is proposed. Markov model is used to describe the decay process of parts, and the general reliability function of the system is analyzed by using general generative function. Based on the strategy of opportunity, a new multi-state system vision Situation change maintenance decision-making methods to ensure that the system in the limited service period, the maximum economic benefits. Taking the replacement maintenance decision of a radar power amplification system as an example, the method takes the economic correlation between components into account and at the same time reduces the total number of maintenance to a certain extent and improves the battlefield support ability of the equipment system. The versatility and engineering value.