基于故障样本的滚动轴承故障诊断置信规则库研究

Research of confidence rule base for fault diagnosis of rolling bearing based on faulty sample

滚动轴承是使用非常广泛的机械零件,现有技术对滚动轴承故障诊断存在局限性。为提高滚动轴承故障诊断的准确性,通过利用历史数据,提出基于故障样本的置信规则库的方法,首先对滚动轴承的典型故障进行分析,获取其振动数据作为样本;然后提取时域特征参数和时频参数,对参数进行特征融合,提取征兆参数,建立故障诊断的置信规则库;通过实验平台获取滚动轴承异常数据,验证建立的置信规则库的有效性和准确性。

The rolling bearing is a widely used mechanical part,but the exis ting technology has limitations on the fault diagnosis of rolling bearing.In order to improve the accuracy of rolling bcaring fault diagnosis,a method of confi-dence rule base is proposed on the basis of fault samples by using historical data.Firstly,the typical faults of rolling bearing are analyzed,and their vibration data are obtained as samples to extract.The time-domain and time frequency parameters are then fused and symptom parameters are extracted to build the confidence rule base of fault diagnosis.Finally,the abnormal data of rlling bearing are obtained through the experimental platform,which verifies the valid-ity and accuracy of the established confidence rule base.