运用小波包峭度包络的滚动轴承故障诊断

根据滚动轴承振动信号的性质,提出了一种基于小波包系数、峭度最大值原则及包络谱分析的滚动轴承故障自动诊断方法.首先,用小波包将信号分解到不同的频段上,再对不同频段的小波包系数计算其峭度值；然后,根据峭度值最大原则,自动确定由轴承缺陷所引起的共振频率所在的频带；最后,对该频带的小波包系数进行包络谱分析,以确定故障频率.此方法能够提高滚动轴承故障诊断的可靠性和便捷性.

Rolling Bearing Fault Diagnosis Using Wavelet Packet-Kurtosis-Envelope

A method for rolling bearing fault auto-diagnosis based on wavelet packet coefficient,kurtosis and envelope analysis is presented according to rolling bearing vibration feature.First,the fault signal will be decomposed into different frequency bands by using wavelet packet.Then,the kurtosis of different frequency band is calculated.In order to avoid envelop spectrum analyses for all wavelet packet coefficient at different frequency band,a criteria in terms of the maximum of kurtosis factor(CMK) is used for ...