复合多尺度包络模糊熵在滚动轴承故障诊断中的应用

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振动与冲击 ›› 2025, Vol. 44 ›› Issue (9) : 274-281.

故障诊断分析

复合多尺度包络模糊熵在滚动轴承故障诊断中的应用

李姜宏1, 2, 郑近德*1, 2, 潘海洋1, 2, 程健1, 2, 童靳于1, 2

作者信息 +

Application of composite multiscale envelope fuzzy entropy in rolling bearing fault diagnosis

LI Jianghong1,2, ZHENG Jinde*1,2, PAN Haiyang1,2, CHENG Jian1,2, TONG Jinyu1,2#br#

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文章历史 +

摘要

模糊熵(Fuzzy entropy, FE)自提出以来就被广泛用于滚动轴承振动信号的时间序列复杂性度量，但模糊熵在单一时间序列的分析中可能无法充分捕获轴承振动信号所有故障特征。针对这一弊端，本文定义出一种包络模糊熵(Envelope fuzzy entropy, EFE)作为新的复杂性度量指标。进一步利用复合粗粒化的方式对时间序列的包络信号进行复合多尺度处理，提出了复合多尺度包络模糊熵(Composite multi-scale envelope fuzzy entropy, CMEFE)，旨在全面揭示信号的故障特征。此外，通过仿真信号验证了CMEFE能够区分不同类型的模拟信号，对比其他非线性动力学方法，结果表明本文提出的方法对于不同模拟信号的区分效果更为显著。在此基础上，提出一种基于复合多尺度包络模糊熵与萤火虫优化支持向量机的滚动轴承故障诊断方法。与现有方法进行对比，验证了该方法的可行性与优越性。

Abstract

Fuzzy entropy (FE) has been widely used to measure the complexity of time series of rolling bearing vibration signals since it was put forward, but it may not fully capture all the fault features of bearing vibration signals in the analysis of a single time series. Aiming at this disadvantage, this paper defines an Envelope fuzzy entropy, EFE) as a new complexity measure. Furthermore, the complex multi-scale processing of the envelope signal of time series is carried out by using the complex coarse graining method, and the composite multi-scale envelope fuzzy entropy (CMEFE) is proposed, aiming at comprehensively revealing the fault characteristics of the signal. In addition, it is verified by simulation signals that CMEFE can distinguish different types of analog signals. Compared with other nonlinear dynamics methods, the results show that the proposed method is more effective in distinguishing different analog signals. On this basis, a fault diagnosis method of rolling bearing based on composite multi-scale envelope fuzzy entropy and firefly optimization support vector machine is proposed. Compared with the existing methods, the feasibility and superiority of this method are verified.

导出引用

李姜宏1, 2, 郑近德1, 2, 潘海洋1, 2, 程健1, 2, 童靳于1, 2. 复合多尺度包络模糊熵在滚动轴承故障诊断中的应用[J]. 振动与冲击, 2025, 44(9): 274-281

LI Jianghong1, 2, ZHENG Jinde1, 2, PAN Haiyang1, 2, CHENG Jian1, 2, TONG Jinyu1, 2. Application of composite multiscale envelope fuzzy entropy in rolling bearing fault diagnosis[J]. Journal of Vibration and Shock, 2025, 44(9): 274-281

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