利用EMD-Wigner高阶矩谱的齿轮故障诊断方法  

Crack Fault Diagnosis of Gear Based on EMD-Wigner Higher Order Moment Spectrum

作　　者：蔡剑华[1] 龚玉蓉[2] 王先春[1] 

机构地区：[1]湖南文理学院物理与电子科学系,常德415000 [2]中南大学地球科学与信息物理工程学院,长沙410083

出　　处：《振动．测试与诊断》2013年第6期1044-1048,1098,共5页Journal of Vibration,Measurement & Diagnosis

基　　金：国家自然科学基金资助项目(41304098);湖南省自然科学基金资助项目(12JJ4034);湖南省教育厅青年资助项目(13B076);湖南省重点建设学科-光学基金资助项目;湖南省重点实验室"光电信息集成与光学制造技术"资助项目;湖南文理学院博士启动资助项目(BSQD1008)

摘　　要：针对Wigner分布在分析故障信号时易受到交叉项干扰的问题,提出了一种基于经验模态分解(empirical mode decomposition,EMD)和Wigner高阶矩谱的齿轮故障诊断方法。给出了Wigner高阶矩边际谱的概念及其方法的原理和应用步骤,并对仿真和实际齿轮故障信号进行了时频分析和故障诊断。结果表明:该方法结合了经验模态分解和Wigner高阶矩谱的优点,有效地抑制了Wigner高阶矩谱的交叉项干扰;边际谱可提取反映齿轮故障模式的边频带结构,且所提取的边频结构更加清晰,为准确判断齿轮的故障状态提供了一种有效的方法。Wigner distribution as a time-frequency analysis method of fault signals is vulnerable because of cross-term interference problem.So,combining the methods of Empirical mode decomposition(EMD)and Wigner higher moment spectrum,a method of gear fault diagnosis method is proposed.And the concept of marginal spectrum of Wigner is proposed.Then the method and steps of fault diagnosis method are given. And simulated and actual signal of fault gear signal is analyzed and diagnosed.The results show that the method combines the advantages of EMD and Wigner higher order moment spectrum,and it effectively inhibits the cross-term interference of Wigner higher order moment spectrum.Marginal spectrum can be used to extract the edge band structure that reflects the gear fault mode,and the edge band structure is more clearly.It provides an effective method to accurately determine the state of the gear.

关 键 词：经验模态分解 Wigner高阶矩谱 边际谱 齿轮故障诊断 

分 类 号：TH17[机械工程—机械制造及自动化] TN911.7[电子电信—通信与信息系统]