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局域均值分解方法在机械故障诊断中的应用
引用本文:刘卫兵,李志农,蒋静,易小兵.局域均值分解方法在机械故障诊断中的应用[J].机床与液压,2011,39(1).
作者姓名:刘卫兵  李志农  蒋静  易小兵
作者单位:1. 南昌航空大学无损检测技术教育部重点实验室,江西南昌,330038;郑州大学机械工程学院,河南郑州,450052
2. 河南省机电学校,河南郑州,450002
基金项目:国家自然科学基金项目(50775208); 河南省教育厅自然科学基金项目(2008C460003,2006460005)
摘    要:局域均值分解(Local Mean Decomposition,LMD)是近年来出现的一种新的时频分析方法。介绍局域均值分解的定义、基本算法。仿真验证LMD方法的有效性,结果表明LMD计算所得的瞬时频率均有物理意义,能更好地反映实际系统的状态。将该方法应用到轴承故障诊断中,实验证明该方法是有效的。

关 键 词:局域均值分解  故障诊断  非平稳信号  时频分析  特征提取  

Local Mean Decomposition and Its Application to the Machine Fault Diagnosis
LIU Weibing,LI Zhinong,JIANG Jing,YI Xiaobing.Local Mean Decomposition and Its Application to the Machine Fault Diagnosis[J].Machine Tool & Hydraulics,2011,39(1).
Authors:LIU Weibing  LI Zhinong  JIANG Jing  YI Xiaobing
Affiliation:LIU Weibing1,2,LI Zhinong1,JIANG Jing1,YI Xiaobing3(1.Key Laboratory of Nondestructive Testing,Ministry of Education,Nanchang Hangkong University,Nanchang Jiangxi 360038,China,2.School of Mechanical Engineering,Zhengzhou University,Zhengzhou Henan 450052,3.Henan Vocational & Technical College of Communications,Zhengzhou Henan 450002,China)
Abstract:The definition and algorithm of local mean decomposition(LMD),which was a new time-frequency method,were introduced.The effection of LMD was verified through simulation.The results show that all the instantaneous frequencies calculated by LMD have physical sense.They can reflect state of actual system.LMD was applied in bearing fault diagnosis.The experimental result reflects that this method is effective.
Keywords:Local mean decomposition(LMD)  Fault diagnosis  Non-stationary signal  Time-frequency analysis  Feature extraction  
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