基于粒子群优化算法的数控机床可靠性建模研究  

Research on CNC Machine Tools Reliability Modelling Based on PSO

作　　者：熊建桥[1] 李雪[1] 鲁泳[1] 袁新芳[1] XIONG Jianqiao;LI Xue;LU Yong;YUAN Xinfang(School of Mechanical Engineering,Nanjing Institute of Technology,Nanjing Jiangsu 211167,China)

机构地区：[1]南京工程学院机械工程学院,江苏南京211167

出　　处：《机床与液压》2020年第20期18-22,共5页Machine Tool & Hydraulics

基　　金：国家自然科学基金面上项目(51775261);南京工程学院校级重大项目(CKJA201402;CKJA201602);江苏省海洋科技创新专项(HY2017-3)。

摘　　要：对某型号数控机床进行可靠性试验,采集故障数据。在此基础上,建立可靠性模型,推断属于威布尔分布,并进行可靠性模型分析;采用粒子群优化算法对威布尔分布的尺度参数α和形状参数β进行估计。研究结果表明,采用此方法建立的可靠性模型较传统的更加准确。Reliability test for a certain NC machine tool was carried out.Failure data were collected.On this basis,a reliability model was established.It was inferred that it was a Weibull distribution.The reliability model was also analyzed.PSO(particle swarm optimization)algorithm was used to estimate the scale parameterαand shape parameterβof Weibull distribution.Research results show that the reliability model established by this method is more accurate than the traditional one.

关 键 词：数控机床 可靠性建模 粒子群优化算法 参数估计 故障时间 

分 类 号：TG659[金属学及工艺—金属切削加工及机床]