基于威布尔分布最小二乘法估计的数控车床故障间隔时间研究  

Apredictive study on CNC lathe fault interval time based on the least-squares estimation for weibull distribution

作　　者：李海清[1] 朱永国 杨洁 LI Haiqing;ZHU Yongguo;YANG Jie(School of Mechanical Engineering,Zhejiang Industry Polytechnic College,Shaoxing 312000,CHN;School of Aeronautical Manufacturing Engineering,Nanchang Hangkong University,Nanchang 330063,CHN;Zhejiang Wanfeng Business College,Shaoxing 312500,CHN)

机构地区：[1]浙江工业职业技术学院机械工程学院,浙江绍兴312000 [2]南昌航空大学航空制造工程学院,江西南昌330063 [3]浙江万丰工商学院,浙江绍兴312500

出　　处：《制造技术与机床》2019年第6期89-92,共4页Manufacturing Technology & Machine Tool

基　　金：绍兴市2018年度科技计划(非医卫类)立项项目(2018C10008);国家自然科学基金(51565042,51865037);江西省重点研发计划(20161BBE53005,20171BBE50007);江西省自然基金(20181BAB206029)

摘　　要：分析了数控机床常见故障和某系列数控车床的故障间隔时间观测值,利用最小二乘法对参数进行估计,并对线性相关性和假设进行检验,验证其服从威布尔分布,得到了该系列数控车床故障间隔时间的概率密度函数、分布函数和故障失效率函数。It analyzed the common failures of CNC machine tools and the failure interval time observation value of a series CNC lathe,and used the least square method to estimation parameter.It carried out the linear correlation test and hypothesis test,and verifyed that it was subject to Weibull distribution,then obtained the probability density function,the distribution function and the failure rate function of the fault interval time of the CNC lathes.

关 键 词：威布尔分布 最小二乘法 数控车床 故障间隔时间 

分 类 号：TG659[金属学及工艺—金属切削加工及机床]