自相关函数在机械故障诊断中的应用  

The Application of Autocorrelation Function in the Mechanical Fault Diagnosis

作　　者：李兴慧[1] 李小汝[1] 申永军 LI Xing-hui;LI Xiao-ru;SHEN Yong-jun(Department of Mechanical and Electronic Engineering,Sichuan Engineering Technical College,Sichuan Deyang 618000,China;Department of Mechanical Engineering,Shijiazhuang Railway Institute,Hebei Shijiazhuang 050043,China)

机构地区：[1]四川工程职业技术学院机电工程系,四川德阳618000 [2]石家庄铁道大学机械工程学院,河北石家庄050043

出　　处：《机械设计与制造》2018年第10期24-26,31,共4页Machinery Design & Manufacture

基　　金：国家自然科学基金(11372198);河北省高等学校创新团队领军人才计划(LJRC018)

摘　　要：在故障诊断领域,自相关函数处理方法正逐渐成为一种重要的信号处理工具,根据自相关函数理论,将自相关函数应用到机械故障诊断中,能有效抑制噪声,提取特征故障信息。首先利用自相关函数对故障振动信号进行时延自相关降噪处理,由于自相关函数保留了原信号的特性,可将降噪后的自相相关函数作为分析信号进行循环自相关处理,从而有效地提取出故障特征频率,判断其故障类型。仿真信号与故障模拟信号结果表明,噪声影响降幅较为明显,能有效提取故障特征信息,在旋转机械故障诊断领域将有广泛的应用前景。In the field of rotating machinery fault diagnosis,the processing method of autocorrelation function has gradually becomean important tool for signal processing.The autocorrelation function is used in the mechanical fault diagnosis,and the noise is restrained effectively,and the characteristic information is extracted.The fault signals are processed by delayed autocorrelation function.then,the failure frequency is extracted by the cyclic autocorrelation function,and the fault type can be judged by extracting the fault characteristic frequency.The simulation demonstrates that fault feature extraction based on autocorrelation function is efective in signal extracting and denoising,and could provides good prospects of application in failure analysis of rotating machinery.

关 键 词：循环自相关 时延自相关 降噪 故障诊断 

分 类 号：TH16[机械工程—机械制造及自动化] TH17