基于故障率与故障症的设备故障诊断方法  

Fault Diagnosis Method of Equipment Based on Failure Rate and Fault Symptom

作　　者：齐继阳[1,2] 刘英豪 王凌云[1] 佟士凯[1] QI Jiyang;LIU Yinghao;WANG Lingyun;TONG Shikai(School of Mechanical Engineering, Jiangsu University of Science and Technology, Zhenjiang Jiangsu 212003, China;Jiangsu Key Laboratory of Recycling and Reusing Technology for Mechanical and Electronic Products, Changshu Jiangsu 215500, China)

机构地区：[1]江苏科技大学机械工程学院,江苏镇江212003 [2]江苏省机电产品循环利用技术重点建设实验室,江苏常熟215500

出　　处：《机械设计与研究》2018年第3期17-21,共5页Machine Design And Research

基　　金：江苏省机电产品循环利用技术重点建设实验室资助开放课题(RRME-KF1605)

摘　　要：传统设备故障诊断方法完全基于故障症状,没有考虑零部件故障率,导致故障诊断的正确率不理想。本文首先基于威布尔分布模型构建了零部件故障率的求解算法,然后运用模糊综合评判方法构建了基于故障症状的故障诊断方法,再将零部件的故障率引入故障诊断模型,最后,通过实例验证了该方法的适用性。由于该故障诊断方法综合考虑了零部件故障率、故障机理。故障症状的明显程度、故障症状现场获取的难易程度等多个因素,其诊断结果的正确性大幅度增加。The traditional fault diagnosis method is completely based on fault symptoms,and failure rates are not taken into consideration,so the fault diagnosis accuracy is not ideal. An algorithm for calculating the equipment failure rate is firstly constructed based on the Weibull distribution model,then a synthetic fault diagnosis model is presented based on fault rate and fault symptom,and finally,the method is proved to be applicable through an example. The method takes into account failure rate,the fault mechanism,the obviousness degree of fault symptoms and the difficulty in obtaining the fault symptom and other factors,so the fault diagnosis accuracy is improved greatly.

关 键 词：故障诊断 故障率 故障症状 威布尔分布 

分 类 号：TP211[自动化与计算机技术—检测技术与自动化装置]