湖南工业大学学报2012，Vol.26Issue(3)：58-62,5.
基于EMD模态能量分析的滚动轴承故障特征提取
Fault Feature Extraction of Roller Bearing Based on EMD Modal Energy Analysis
摘要
Abstract
According to the non-stationary signal of rolling bearing,a feature extraction method of extracting energy ratio of intrinsic mode function(IMF) of normal signal and fault signal to construct characteristic vectors is proposed.Because of the modal aliasing by EMD,the decomposition results are uncertain,and the fault recognition rate of traditional energy feature extraction is low.By introducing normal signal under the same working conditions,the energy characteristics of various mode vectors are changed into energy features relative to normal signal.The experimental results show that the proposed method can effectively extract the fault feature of roller bearing and achieve its fault diagnosis.关键词
特征提取/经验模态分解/滚动轴承/故障诊断Key words
feature extract/Empirical mode decomposition/rolling bearing/fault diagnosis分类
信息技术与安全科学引用本文复制引用
魏巍,彭涛..基于EMD模态能量分析的滚动轴承故障特征提取[J].湖南工业大学学报,2012,26(3):58-62,5.基金项目
国家自然科学基金资助项目 （）
