An optimization method for train system maintenance strategy considering imperfect maintenance in a dynamic environment

Abstract

This invention proposes a train system maintenance strategy optimization method considering imperfect maintenance under dynamic environments. It characterizes the train system degradation path and impact arrival process based on a Markov process-modulated gamma process and a homogeneous Poisson process, respectively; determines the impact mechanism of imperfect maintenance on system degradation; establishes a reliability model considering imperfect maintenance to characterize the system's competitive failure process; and uses the update reward theorem to establish a model maximizing the expected profit margin under long-term system operation. Under the dual constraints of limiting average availability and expected operating time, using the number of imperfect maintenance operations between two adjacent replacements as the decision variable, it obtains the maintenance strategy that maximizes the long-term expected profit margin of the system. This invention considers the impact of dynamic environment and imperfect maintenance on train equipment reliability and maintenance strategy, and can obtain the maintenance strategy that maximizes the long-term expected profit margin of the train system while satisfying the expected operating time and limiting average availability of the equipment.

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