基于模糊理论的数控刀架故障诊断方法研究  

Research on Fault Diagnosis of Numerical Control ToolRest Based on Fuzzy Theory

作　　者：陈德道[1] 安虎平[2] 胡宗政[3] 

机构地区：[1]兰州交通大学机电工程学院,兰州730070 [2]兰州城市学院培黎工程技术学院,兰州730070 [3]兰州职业技术学院机电工程系,兰州730070

出　　处：《组合机床与自动化加工技术》2015年第10期84-87,90,共5页Modular Machine Tool & Automatic Manufacturing Technique

基　　金：甘肃省自然科学基金项目(1310RJZA059);兰州市科技发展计划项目(2014-2-1)

摘　　要：以数控机床刀架系统为典型实例,按功能分解法构建刀架系统的故障树,对故障树进行规则描述,根据隶属度最大原则,提出系统故障诊断的模糊推理方法。结合机床使用中统计的故障数据和专家组评定的故障概率,运用模糊理论建立了故障集度矩阵,可判定故障机理隶属度。该技术可为故障诊断的专家系统设计提供一种推理方法,有助于提高故障诊断的效率和准确率。Takingtool rest of NC machine tool as typical example,a fault tree of tool rest system is set up by means of function decomposition method,describing fault tree with regulation. It offers a fuzzy inference methodof system fault diagnosis on the basis of largest degree of membership. Combining failure datacollectedfromusing machine toolswithfault probability evaluated by expert group,a malfunction intensity matrixis set upbased on fuzzy theory. The matrix can be used to decide the degree of membershipabout the failure mechanism. This technique canprovidean inference wayfor designing expert system of fault diagnosis,which is helpful to improve the efficiencyandprecision rateof fault diagnosis.

关 键 词：数控刀架 故障树 故障率 模糊推理 

分 类 号：TH17[机械工程—机械制造及自动化] TG506[金属学及工艺—金属切削加工及机床]