数控机床基于状态监测的视情维修决策研究  

Research on Condition Based Maintenance Decision of CNC

作　　者：张根保[1] 唐贤进[1] 许智[1] 崔有志[1] 

机构地区：[1]重庆大学机械工程学院,重庆400030

出　　处：《机械科学与技术》2012年第2期182-185,共4页Mechanical Science and Technology for Aerospace Engineering

基　　金：国家"高档数控机床与基础制造装备"科技重大专项(2009ZX04014-016;2009ZX04001-013;2009ZX04001-023);国家重大专项<精密数控机床精度保持性>(2010ZX04014-015);国家863计划资助项目(2009AA04Z119);国家自然科学基金资助项目(50835008);数字制造装备与技术国家重点实验室(华中科技大学)开放基金项目资助

摘　　要：从机床维修角度入手,提出基于状态监测的机床视情维修方式。研究了包含早期故障期和偶然故障期的两重威布尔比例风险模型的建立方法与过程。以机床可用度最大为目标函数对机床维修时机决策进行了论述。结合转台实例对维修时机决策进行分析,应用结果验证了分析方法与所建模型的正确性,表明了该维修方式能够有效避免机床过维修和欠维修同时存在的现象。Condition Based Maintenance on machine tool was proposed.By analyzing the failure data,the building approach and procedure of the piecewise twofold Weibull proportional hazards models containing the early failure period and random failure period was researched.The maintenance threshold decision model of machine tool was studied with the objective-function of maximize usability.The application of rotary example illuminates the method and the models are correct and the Condition Based Maintenance is in accordance with the status of the machine tools,and it can avoid the phenomena of over-maintenance or lack-maintenance.

关 键 词：机床 维修 威布尔分布 决策 

分 类 号：TB114.3[理学—概率论与数理统计]