首页 | 本学科首页   官方微博 | 高级检索  
     

基于局域均值分解的滚动轴承故障诊断方法
引用本文:刘卫兵,李志农,蒋静. 基于局域均值分解的滚动轴承故障诊断方法[J]. 轴承, 2009, 0(9)
作者姓名:刘卫兵  李志农  蒋静
作者单位:郑州大学,机械工程学院,郑州,450001
基金项目:国家自然科学基金,河南省教育厅自然科学基金 
摘    要:论述了一种新的自适应时频分析方法--局域均值分解的基本原理和算法,并将该方法引入到滚动轴承故障诊断中,提出了一种基于局域均值分解的滚动轴承故障诊断方法, 该方法先将一个故障信号自适应地分解成若干个具有一定物理意义的生产函数分量,然后求出每个PF分量的瞬时幅值和瞬时频率,从而获得故障信号的特征信息.试验结果验证了该方法的有效性.

关 键 词:滚动轴承  故障诊断  局域均值分解  时频分析

Fault Diagnosis Method of Rolling Bearing Based on Local Mean Decomposition
LIU Wei-bing,LI Zhi-nong,JIANG Jing. Fault Diagnosis Method of Rolling Bearing Based on Local Mean Decomposition[J]. Bearing, 2009, 0(9)
Authors:LIU Wei-bing  LI Zhi-nong  JIANG Jing
Affiliation:LIU Wei-bing,LI Zhi-nong,JIANG Jing(School of Mechanical Engineering,Zhengzhou University,Zhengzhou 450001,China)
Abstract:The basic theory and algorithm of local mean decomposition(LMD) as a new adaptive time-frequency analysis method is discussed.The method is introduced into the fault diagnosis of rolling bearings and a new fault diagnosis method based on LMD is proposed.By means of the proposed method,the vibration signal can be decomposed into a set of product functions(PF) components with the certain physical meaning,then the instantaneous amplitude and frequency of each PF component can be deduced,thus the feature inform...
Keywords:rolling bearing  local mean decomposition  fault diagnosis  time-frequency analysis  
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号