华中师范大学学报（自然科学版）2017，Vol.51Issue(3)：304-308,316,6.
CEEMD与广义形态差值滤波结合的故障诊断方法研究
Research on fault diagnosis method combining CEEMD with generalized morphology difference filter
摘要
Abstract
In order to extract the early fault feature of rolling bearing,a method based on the combination of Complementary Ensemble Empirical Mode Decomposition (CEEMD)and generalized morphological difference filter for fault diagnosis is proposed in this paper.Firstly,the vibration signals are decomposed by the CEEMD into different scales of IMF component signals,and the IMF component signals with rich fault information are reconstructed by the correlation coefficient and kurtosis criterion.Then the reconstructed signals are filtered by the generalized morphological difference filter to filter the noise.Finally,characteristics of signals are extracted from the vibration signal which filtered signals using Teager-Kaiser Energy Operator (TKEO).The experiment results have shown that the proposed method applied in the rolling bearings fault detection is effective.关键词
CEEMD/广义形态差值滤波器/TKEO/滚动轴承/故障诊断Key words
CEEMD/generalized morphology difference filter/TKEO/rolling bearing/fault diagnosis分类
机械制造引用本文复制引用
黄刚劲,范玉刚,黄国勇..CEEMD与广义形态差值滤波结合的故障诊断方法研究[J].华中师范大学学报（自然科学版）,2017,51(3):304-308,316,6.基金项目
国家自然科学基金项目(61563024,51169007,61663017) （61563024,51169007,61663017）
云南省科技计划项目(2015ZC005). （2015ZC005）
