基于贝叶斯网络的盘式刀库故障分析

Fault analysis of circular tool magazine based on Bayesian network

针对刀库故障模式多样、故障原因不明的问题,基于刀库故障树分析,建立了盘式刀库系统贝叶斯网络,并利用一批故障数据求解网络节点的先验概率与条件概率。由贝叶斯网络节点重要度分析发现,刀盘电机、刀臂定位键及刀臂本体为盘式刀库的可靠性薄弱环节。此外,由贝叶斯父节点后验故障概率分析发现,换刀组件、储刀组件故障是造成刀库掉刀的主要原因,若发生掉刀应优先检修刀臂及刀盘电机。

Aiming at multiple types of faults and unknown fault reasons of tool magazine,this paper established a Bayesian network of the circular tool magazine system based on fault tree analysis of the tool magazine.The prior probability and conditional probability of nodes in the Bayesian network are solved by using a batch of fault data.Based on the analysis of node importance of the Bayesian network,it is found that the cutter body motor,the positioning key of ATC and the body of ATC are the weak links in the circular tool magazine.In addition,based on the analysis of the posterior failure rate of the parent node,the failure of tool changing components and tool storage components are the main cause of tool loss in the tool library.If tool loss occurs,the tool arm and cutter head motor should be overhauled first.