机械故障的可拓诊断方法研究  

Study on the Failure Analysis of Equipments Based on Extension Theory

作　　者：姚瑶[1] 陈炳发[1] 王体春[1] 

机构地区：[1]南京航空航天大学机电学院,南京210016

出　　处：《机械科学与技术》2014年第5期682-687,共6页Mechanical Science and Technology for Aerospace Engineering

基　　金：国家自然科学基金项目(51005114);中国博士后科学基金项目(20100471334);中央高校基本科研业务费专项资金项目(56XAA12060)资助

摘　　要：提出了一种结合灰色关联分析的可拓故障诊断方法。该方法利用可拓学原理建立故障诊断基元模型,对监测数据进行形式化描述,并根据指标数据序列生成原理对数据规格化处理,弥补了可拓故障诊断就小样本,贫信息等问题无法解决的不足。通过增大诊断信息空间,获得了更精确的关联度分析。为提高故障诊断准确率,对关联度计算公式加以适当修正。将该方法应用于滚动轴承故障诊断中,验证了有效性。The failure diagnosis technology is an important part of the equipments＇ normal running. Aiming at the problems in the fault diagnosis,a method combining the extension theory with grey system is proposed. It adopts the extension theory to build matter element modes of failure diagnosis and provides a formal description of the monitoring data. It also applys the principle of index data generation for geting the normalized data. The method covered the shortage of the insurmountable problems of small sample and poor information. a more precise analysis of the correlation degree by increasing the diagnostic information area can be gotten. In order to improve the accuracy of failure diagnosis,the formula of the correlation degree is corrected. The new method is used in the failure diagnosis of antifriction bearing to prove to be effective.

关 键 词：可拓学 故障诊断 灰色系统 物元模型 

分 类 号：TH122[机械工程—机械设计及理论]