大连工业大学学报2024，Vol.43Issue(4)：300-306,7.DOI:10.19670/j.cnki.dlgydxxb.2024.0413
熵理论在轴承故障诊断中的应用
Application of entropy theory in bearing fault diagnosis
摘要
Abstract
In order to summarize the methods and achievements oi 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Key words
approximate entropy/sample entropy/fuzzy entropy/bearing分类
机械制造引用本文复制引用
边军,景来兴,刘艳秋..熵理论在轴承故障诊断中的应用[J].大连工业大学学报,2024,43(4):300-306,7.基金项目
河南省高等学校重点科研项目(21B460005). （21B460005）
