The Diagnosis Approach for Rolling Bearing Fault based on Kurtosis Criterion EMD and Hilbert Envelope Spectrum

摘要：

　　A fault diagnosis approach based on empirical mode decomposition(EMD),Hilbert envelope spectrum and Kurtosis criterion is proposed,by considering the nonlinear and non-stationary characteristic of fault signal for rolling bearing.The fault signals are decomposed into a sum of intrinsic mode functions(IMFs)with EMD decomposing process.Also,some of the IMFs are selected to reconstruct the signal through using Kurtosis criterion,which can be used to represent the fault information.And then,the determination of specific fault for rolling bearings are achieved by comparing the envelope spectrum of the reconstructed signal with the fault characteristic frequency.It can be found from the result that the proposed approach can be well used in the fault information extraction for the rolling bearing,and with a good application prospect.

关键词： EMD Kurtosis criterion Hilbert envelope spectrum roller bearings fault diagnosis

作者: Cheng Luo MinPing Jia Yue Wen

作者单位: School of Mechanical Engineering,Southeast University Nanjing,China

会议类型: 国际会议

会议名称: 2017 IEEE 3rd Information Technology and Mechatronics Engineering Conference(ITOEC2017)(2017 IEEE 第3届信息技术与机电一体化工程国际学术会议)

会议地点: 重庆

会议语种:英文

页码: 692-696

在线出版日期: 2017-10-03（万方平台首次上网日期，不代表论文的发表时间）