熵理论在轴承故障诊断中的应用  

Application of entropy theory in bearing fault diagnosis

作　　者：边军 景来兴 刘艳秋[2] BIAN Jun;JING Laixing;LIU Yanqiu(School of Electro-mechanical Engineering,Zhongyuan Institute of Science and Technology,Zhengzhou 450046,China;School of Mechanical Engineering and Automation,Dalian Polytechnic University,Dalian 116034,China)

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

出　　处：《大连工业大学学报》2024年第4期300-306,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：为了系统地总结熵理论在轴承故障诊断中演绎出的方法及成果,以时间为脉络对各种单尺度熵及其优化理论在处理轴承故障信号中的特性及优劣势进行了梳理和总结,比较了各种单尺度熵算法的常用参数及其影响因素。综述了近年来单尺度熵及其优化理论在轴承故障诊断领域的应用与改进,指出了各种熵算法的优缺点,对熵理论在轴承故障信号处理中的发展方向进行了展望。In order to summarize the methods and achievements of entropy theory in bearing fault diagnosis completely and systematically,the characteristics,advantages and disadvantages of various single-scale entropy and its optimization theories in processing bearing fault signals were sorted out and summarized in the context of time.The common parameters and influencing factors of various single-scale entropy algorithms were compared.The application and improvement of single-scale entropy and its optimization theory in bearing fault diagnosis in recent years were reviewed,and pointed out the advantages and disadvantages of various entropy algorithms.The development direction of entropy theory in bearing fault signal processing was prospected.

关 键 词：近似熵 样本熵 模糊熵 轴承 

分 类 号：TH133[机械工程—机械制造及自动化]