The existence of the failure transitivity of machine tool components makes the fault transfer probability of components demonstrate dynamic time-variability, which affects the importance of components and further affects the machine maintenance cycle. Therefore, studying fault transfer probability and the importance of machine tool components is necessary. In this article, the fault transfer probability of component is defined according to component fault propagation directed graph and component independent fault and related fault model based on time correlation. Assuming that the fault propagation follows the Markov process, the improved LeaderRank algorithm is applied to evaluate the importance of components by introducing background node and calculating failure impact degree of component on the basis of out-degree. Finally, the specific application is verified by taking the fault information of a certain type of machine as an example.

机床零件故障传递性的存在使得零件故障转移的概率表现出动态的时变性，这影响了零件的重要性，进一步影响了机器的维修周期。因此，有必要研究故障转移概率和机床部件的重要性。本文根据零件故障传播有向图，零件独立故障以及基于时间相关性的相关故障模型定义零件的故障转移概率。假设故障传播遵循马尔可夫过程，则采用改进的LeaderRank算法，通过引入背景节点并根据出度计算出构件的失效影响度，来评估构件的重要性。最后，