基于LMD的能量算子解调机械故障诊断方法  

Mechanical Fault Diagnosis of Energy Operator Demodulating Approach Based on LMD

作　　者：程军圣[1] 杨怡[1] 杨宇[1] 

机构地区：[1]湖南大学汽车车身先进设计制造国家重点实验室,长沙410082

出　　处：《振动．测试与诊断》2012年第6期915-919,1033,共5页Journal of Vibration,Measurement & Diagnosis

基　　金：国家自然科学基金资助项目(编号:50775068);国家高技术研究发展计划("八六三"计划)资助项目(编号:2009AA04Z414);中国博士后科学基金资助项目(编号:20080430154)

摘　　要：为了提取多分量调幅调频信号的幅值和频率信息,提出了基于局部均值分解(local mean decomposition,简称LMD)的能量算子解调机械故障诊断方法。该方法先利用LMD将机械调制信号分解成若干个乘积函数(production function,简称PF)分量,然后对每一个PF分量进行能量算子解调,获得信号的幅值和频率信息进行故障诊断。利用该方法对仿真信号以及轴承和齿轮故障振动信号进行实验研究的结果表明,基于LMD的能量算子解调方法能够有效地提取机械故障振动信号特征。An energy operator demodulating approach based on LMD(local mean decomposition) is applied to rotating machinery fault diagnosis.In this approach,LMD method is used to decompose a multi-component AM-FM signal into a number of production functions(PF) firstly;then,the energy operator demodulating is applied to each PF and the amplitudes and frequencies of a multi-component AM-FM signal are extracted for mechanical fault diagnosis.The proposed approach has been applied to simulated signal and bearings and gears fault diagnosis.The analysis results show that the energy operator demodulating approach based on LMD can extract the characteristics of mechanical fault vibration signals efficiently.

关 键 词：局部均值分解 PF分量 能量算子解调 故障诊断 

分 类 号：TH165[机械工程—机械制造及自动化] TN911.3[电子电信—通信与信息系统]