中国机械工程Issue(1)：63-69,70,8.DOI:10.3969/j.issn.1004132X.2015.01.011
基于形态差值滤波和差分熵的滚动轴承故障诊断
Fault Diagnosis of Rolling Bearings Based on Morphological Difference Filter and Difference Entropy
摘要
Abstract
Concerning the early fault diagnosis of inner and outer race,a novel method was pro-posed.The method put the advantages of mathematical morphology filtering nonlinear signals and the advantages of information entropy theory characterizing signals together.Firstly,the measured slight and severe fault signals of inner and outer race faults were filtered by morphological difference filter to get more useful fault characteristic informations.Secondly,the abrupt informations of signals were extracted by difference entropy,and the uncertainty and complexity of abrupt information were meas-ured by difference entropy.Lastly,the faults were diagnosed successfully based on the mind of the periodic time interval of abrupt point coincided with the periodic impulsive time interval of inner and outer race faults.The simulation signals and the two fault signals of the rolling bearing were tested and verified,the result is that the new method can diagnosis the early faults of inner and outer race with high accuracy.关键词
差值滤波器/差分熵/滚动轴承/故障诊断Key words
difference filter/difference entropy/rolling bearing/fault diagnosis分类
机械制造引用本文复制引用
姜万录,郑直,朱勇,李扬..基于形态差值滤波和差分熵的滚动轴承故障诊断[J].中国机械工程,2015,(1):63-69,70,8.基金项目
国家自然科学基金资助项目(51475405) （51475405）
国家重点基础研究发展计划(973计划)资助项目(2014CB046405) （973计划）
河北省自然科学基金资助项目(E2013203161) （E2013203161）
