摘要
针对数控机床系统可靠性分析复杂的问题,将故障模式影响及危害性分析方法和动态贝叶斯网络相结合,建立了可靠性分析模型。首先,分析了数控机床的故障原因、故障模式以及主要故障零部件,并结合专家意见对故障原因进行了风险评估。然后,基于数控机床的故障模式表和故障数据构建了动态贝叶斯网络可靠性模型的结构和参数。通过该模型对系统的状态变化、故障零部件的重要性、子系统的重要性以及各零部件的状态变化进行了分析,并对模型分析的结果与传统的蒙特卡洛方法进行了对比验证。
In order to solve the complex problem of reliability analysis of CNC machine tool system,this paper combines the failure mode influence and hazard analysis method with the dynamic Bayesian network to establish a reliability analysis model.Firstly,the failure causes,failure modes and main fault parts of CNC machine tools were analyzed,and the risk assessment of the failure causes was carried out in combination with expert opinions.Then,based on the failure mode table and fault data of the CNC machine tool,the structure and parameters of the dynamic Bayesian network reliability model were constructed.The state change of the system,the importance of the faulty parts,the importance of the subsystem and the state changes of each component are analyzed by the model,and the results of the model analysis are compared with the traditional Monte Carlo method.
作者
黄贤振
李超
孙超
邱开慧
HUANG Xian-zhen;LI Chao;SUN Chao;QIU Kai-hui(School of Mechanical Engineering and Automation,Northeastern University,Shenyang 110819,China;Key Laboratory of Vibration and Control of Aero-Propulsion Systems Ministry of Education of China,Northeastern University,Shenyang 110819,China;Wuhan Iron&Steel Co.,Ltd.,Wuhan 430080,China)
出处
《吉林大学学报(工学版)》
北大核心
2025年第11期3534-3543,共10页
Journal of Jilin University:Engineering and Technology Edition
基金
国家自然科学基金项目(U23B2098,U22B2087)
辽宁省应用基础研究计划项目(2023JH2/101300160)。
关键词
机械设计
数控机床
可靠性分析
故障模式影响及危害性分析
动态贝叶斯网络
mechanical design
CNC machine tools
reliability analysis
failure mode impact and hazard analysis
dynamic Bayesian networks
