关键词: 多部件系统, 离散状态建模, 劣化状态空间划分, 维修决策, 风电机组

Abstract: Aiming at the system composed of the same and degraded independent components,an optimal maintenance decision optimization model was proposed.The degradation process of components in the system was described as a Markov process with discrete time continuous states.Based on the analysis of system's transition characteristics,the Markov process theory was used to solve the stationary probability expression of each state of the individual components in the system.An optimal decision model for the average cost rate of a multi-component system with multi-state degradation characteristics was established.The optimal detection period,opportunity and preventive maintenance threshold of the system were obtained to ensure the minimal long-term average cost rate.The wind turbine was used as an example to analyze and verify the correctness and applicability of the maintenance decision model.The results showed that the model could help the actual multi-component system to give a more economical and reasonable maintenance strategy.

Key words: multi-unit systems, discrete state modeling, deterioration state space partitioning method, maintenance decision, wind turbine