Based on rolling bearing failure diagnosis in wavelet analysis

摘要：

In this paper, wavelet features of faultsensitive characteristics of the signal expounded scale - wavelet power spectrum comparison method and time - autocorrelation of wavelet power spectrum analysis,for the rolling bearing fault diagnosis signal complex and difficult to pass the signal to determine the bearing point of failure, given the normal time-domain waveform and the rolling bearing vibration acceleration signals scale - wavelet energy spectrum, Practice shows that the wavelet analysis to deal with non-stationary signals have a very good application effect, which can effectively be used for rolling bearing fault diagnosis.

关键词： Wavelet Rollingbearing Fault Energy spectrum

作者: Han Quan-li Wang Hong-ying

作者单位: Department of Mechanical and Electronic Engineering Henan Polytechnic Institute Nan yang,China

会议类型: 国际会议

会议名称: 2010 International Conference on Computer,Mechatronics,Control and Electronic Engineering(2010计算机、机电、控制与电子工程国际会议 CMCE 2010)

会议地点: 长春

会议语种:英文

页码: 59-63

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）