时频分析方法在轴承故障诊断领域的应用  

Application of time-frequency analysis method in bearing fault diagnosis

作　　者：刘艳秋[1] 景来兴 边军 LIU Yanqiu;JING Laixing;BIAN Jun(School of Mechanical Engineering and Automation,Dalian Polytechnic University,Dalian 116034,China;Zhongyuan Institute of Science and Technology,Zhengzhou 450046,China)

机构地区：[1]大连工业大学机械工程与自动化学院,辽宁大连116034 [2]中原科技学院,河南郑州450046

出　　处：《大连工业大学学报》2023年第3期219-225,共7页Journal of Dalian Polytechnic University

基　　金：河南省高等学校重点科研项目(21B460005)。

摘　　要：现代信号处理技术在数字信息时代具有巨大的发展潜力,其中时频分析方法发展较快,应用广泛。基于小波理论的小波变换、小波包分解,再到经验模态分解(EMD)、局部均值分解(LMD)、本征时间尺度分解(ITD)、局部特征尺度分解(LCD)、内禀特征尺度分解(ICD)、变分模态分解(VMD)等自适应分解方法,先后提出时频分析取得了前所未有的发展。本文从方法的提出、应用和改进三个方面对近年来时频分析方法的研究进行了总结,对时频分析方法今后的发展方向进行了展望。Modern signal processing technology shows great development potential in the digital information age,among which time-frequency analysis method develops more rapidly and is widely used.From wavelet transform and wavelet packet decomposition based on wavelet theory,to empirical mode decomposition(EMD),local mean decomposition(LMD),intrinsic time scale decomposition(ITD),local character-scale decomposition(LCD),intrinsic character-scale decomposition(ICD),variational mode decomposition(VMD)and other adaptive decomposition methods have been proposed,Time-frequency analysis has achieved unprecedented development.Based on the research of time-frequency analysis methods in recent years,the proposal,application and improvement of the methods were summarized,and the future development direction of time-frequency analysis method was prospected.

关 键 词：滚动轴承 时频分析 小波理论 自适应分解 故障诊断 

分 类 号：TH133[机械工程—机械制造及自动化]