多阶段退化数据融合的伺服驱动单元可靠性建模  

Servo drive unit reliability modeling with multi-stage degradation data fusion

作　　者：张忠文 彭翀[1] 车众元 王基坤 ZHANG Zhongwen;PENG Chong;CHE Zhongyuan;WANG Jikun(School of Mechanical Engineering&Automation,Beihang University,Beijing 100191,China;Beijing Xinghang Mechanical and Electrical Equipment Co.,Ltd.,Beijing 100074,China)

机构地区：[1]北京航空航天大学机械工程及自动化学院,北京100191 [2]北京星航机电装备有限公司,北京100074

出　　处：《北京航空航天大学学报》2025年第2期692-704,共13页Journal of Beijing University of Aeronautics and Astronautics

基　　金：国家自然科学基金项目“基于部件退化动态耦合关系模型的数控系统多源信息融合可靠性研究”(51875029);中央高校基本科研业务费专项资金资助(YWF-23-PTJH-0701);广东省电子信息产品可靠性技术重点实验室开放基金。

摘　　要：为了精确评估数控系统伺服驱动单元的可靠性,提出了一种多阶段退化数据融合的可靠性建模方法。通过分析多种退化过程模型,针对不同伺服驱动单元之间存在的个体差异特点,引入随机效应并给出了考虑个体差异的可靠性模型建立方案;采用贝叶斯方法通过考虑多种退化过程,将不同退化的数据进行融合,建立了多阶段退化数据融合的伺服驱动单元可靠性模型,并采用马尔可夫链蒙特卡罗方法完成模型参数估计;在实验室环境下搭建伺服驱动单元加载测试平台,采集实验数据验证了模型的有效性。In order to accurately evaluate the reliability of the servo drive unit of a computer numerical control(CNC)system,a reliability modeling method with multi-stage degradation data fusion was proposed.Firstly,by analyzing multiple degradation process models,random effects were introduced,and a reliability model building scheme considering individual differences was given for the characteristics of individual differences existing between different servo drive units.Then,a Bayesian approach was adopted to fuse different degradation data by considering multiple degradation processes,and a reliability model of servo drive units with multi-stage degradation data fusion was established.Moreover,a Markov chain Monte Carlo(MCMC)method was used to complete the model parameter estimation.Finally,a servo drive unit loading test platform was built in the laboratory environment to collect experimental data and verify the validity of the model.

关 键 词：退化过程 数据融合 贝叶斯方法 伺服驱动单元 可靠性建模 

分 类 号：TP23[自动化与计算机技术—检测技术与自动化装置] TG659[自动化与计算机技术—控制科学与工程]