基于模糊数据包络分析的数控机床故障模式分析  

Failure mode analysis of computer numerical control machine tools based on fuzzy-DEA

作　　者：陈传海[1] 杨兆军[1] 陈菲[1] 郝庆波[1,2] 许彬彬[1] 阚英男 

机构地区：[1]吉林大学机械科学与工程学院,长春130022 [2]空军航空大学力学系,长春130022

出　　处：《吉林大学学报（工学版）》2013年第6期1523-1528,共6页Journal of Jilin University:Engineering and Technology Edition

基　　金：国家科技重大专项项目(2010ZX04014-011)

摘　　要：针对在进行数控机床故障模式及影响分析中依靠人的主观判断获得的各故障模式影响因素权重主观性较强、容易出现较大偏差的情况,提出了一种确定故障模式影响因素权重的方法。该方法利用数据包络分析能够评价各单元之间的相对有效性的优点来获取故障模式及其影响分析中各因素的权重。根据权重与影响因素的关系建立风险优先系数的求解模型。通过在一定的水平h下对模糊信息进行比较,计算出故障模式的风险优先系数。根据风险优先系数的排序,得到故障模式的危害度排序。以某型国产数控机床为例,应用该方法对其进行了故障模式及其影响分析,并根据故障模式的排序结果提出了可靠性改进设计的依据。The crucial issues in Failure Mode and Effect Analysis （FMEA） for machine tools are the great uncertainty or unreasonable weights of severity, occurrence and detection effect factors which are determined by the experience of experts. To overcome such disadvantages, a modified FMEA was presented based on Fuzzy Data Envelopment Analysis （Fuzzy-DEA）. A method to determine the weights of the effect factors was proposed based on the advantages of DEA that can assess the effectiveness of each unit. According to the relationship between the weights and the effect factors, a model of the risk priorities of failure modes was developed when a certain level of ＂h＂ was given. The rank of failure mode criticalities was determined according to the risk priorities. A case study was provided to demonstrate the use of the proposed FMEA in the design of CNC lathe and show its potential application and benefits. This study verified the feasibility of the proposed method.

关 键 词：数控机床 故障模式 模糊理论 数据包络分析 

分 类 号：TG659[金属学及工艺—金属切削加工及机床]