张博

(教授)

 博士生导师  硕士生导师
学位:博士
性别:男
毕业院校:大连理工大学
所在单位:能源与动力学院
电子邮箱:zhangbo@dlut.edu.cn

论文成果

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Application of wavelet packet sample entropy in the forecast of rolling element bearing fault trend

发表时间:2019-03-11 点击次数:

论文名称:Application of wavelet packet sample entropy in the forecast of rolling element bearing fault trend
论文类型:会议论文
收录刊物:EI、Scopus
卷号:2
页面范围:12-16
摘要:Application of wavelet packet sample entropy in the forecast of rolling element bearing fault trend is proposed in this paper. Firstly, the concept of wavelet packet sample entropy is given. and it illustrates that EMD can better extract the signal trend through the simulation signal. and then the wavelet packet sample entropy for data of the whole life cycle bearing test rig is calculated and the trend of this wavelet packet sample entropy sequence is extracted using EMD. This method could better forecast the operating state of rolling element bearing. So the method of wavelet packet sample entropy and EMD can be used as a good tool for bearing monitoring and forecasting. ? 2011 IEEE.
发表时间:2011-05-14