华东交通大学学报2017,Vol.34Issue(4):97-103,7.
基于MED-Teager能量算子的滚动轴承故障诊断
Fault Diagnosis of Rolling Bearings Based on MED-Teager Energy Operator
摘要
Abstract
In the fault diagnosis of rolling bearings,the background noise is big and the signal noise is low,which causes a problem that the periodic impact component of bearing failure information is submerged in the noise and the fault characteristics can not be extracted effectively.Aiming at such a problem,a fault diagnosis model based on MED and Teager energy operator was proposed in this study.Firstly,the influence of transfer path was eliminated in the process of sampling by the MED method.Then the energy values of the filtered signal were tracked by Teager energy operator to further eliminate the band noise signal,which enhanced the fault impact secondarily.Finally,the diagnosis results were obtained by envelope spectrum analysis.The validity of the proposed model was verified by simulation data and experimental data analysis.关键词
滚动轴承/最小熵解卷积/Teager能量算子/故障诊断Key words
rolling bearing/minimum-entropy deconvolution/Teager energy operator/fault diagnosis分类
信息技术与安全科学引用本文复制引用
刘正平,胡俊,胡俊锋,张龙..基于MED-Teager能量算子的滚动轴承故障诊断[J].华东交通大学学报,2017,34(4):97-103,7.基金项目
国家自然科学基金项目(51665013) (51665013)
江西省青年科学基金项目(20161BAB216134) (20161BAB216134)