计量学报2013，Vol.34Issue(2)：101-105,5.DOI:10.3969/j.issn.1000-1158.2013.02.02
基于改进的经验模态分解的滚动轴承故障诊断研究
Study of Roller Bearing Fault Diagnosis Based on the Improved Empirical Mode Decomposition
摘要
Abstract
The traditional time-frequency analysis method can not effectively process non-stationary signals. The empirical mode decomposition (EMD) is very suitable for processing the non-stationary signals, but the results may appear pseudo-intrinsic mode functions ( IMF) and insensitive intrinsic mode functions. For the lack of EMD, the method combined with energy threshold law and sensitive IMF select wears to identify the true IMF and sensitive IMF is proposed, then the spectrum transformation of IMF satisfying these two conditions and the diagnostic results are given. The fault information can be clearly presented on spectrogram. The improved EMD decomposition is applied to the fault diagnosis of rolling bearing to prove the feasibility and accuracy of this method.关键词
计量学/滚动轴承故障/经验模态分解/内禀模态函数/能量门限/敏感IMFKey words
Metrology/ Rolling bearing fault/ Empirical mode decomposition/ Intrinsic mode functions/ Energy threshold/ Sensitive IMF分类
通用工业技术引用本文复制引用
臧怀刚,李清志,韩艳龙,王石云..基于改进的经验模态分解的滚动轴承故障诊断研究[J].计量学报,2013,34(2):101-105,5.
