基于EOE_LMD和阶次跟踪分析的变转速轴承故障诊断

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摘要振动信号分析是轴承故障诊断中的重要技术手段之一。变转速工况下的滚动轴承振动信号是典型的非平稳信号，并且在转频变化较小的工况中还存在噪声干扰的问题，使传统的时频分析技术难以应用。为解决该问题，提出了一种基于经验最优包络(empirical optimal envelope, EOE)的局部均值分解(local mean decomposition, LMD)和采用分段线性插值的计算阶次跟踪(computing order tracking, COT)算法相结合的故障诊断方法。首先，确定低通滤波器的截止频率和滤波阶数，对滚动轴承振动信号进行滤波，并对滤波后的包络信号进行COT，以获得角域平稳信号。然后，利用EOE_LMD对重采样后的平稳信号进行处理，得到若干乘积函数(product function, PF)分量。最后，通过计算各分量的信息熵和相关系数，选取合适的分量进行阶次分析，以判断变转速滚动轴承的故障类型。结果表明，所提出的方法可以消除转速波动对故障特征提取的影响，在不同转速变化条件下对滚动轴承具有良好的故障诊断能力。

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	张超
	买买提热依木?阿布力孜

关键词 ：滚动轴承, 经验最优包络, 局部均值分解, 计算阶次跟踪, 变转速工况

Abstract：Vibration signal analysis is one of the important technical means in bearing fault diagnosis. The fault vibration signal of rolling bearing under the variable speed condition is a typical non-stationary signal, and there is also the problem of noise interference in the condition of small rotation frequency change, which makes the traditional time-frequency analysis technology difficult to apply. To solve this problem, a fault diagnosis method based on local mean decomposition (LMD) using empirical optimal envelope (EOE) and computing order tracking (COT) using piecewise linear interpolation was proposed. Firstly, the cut-off frequency and filtering order of the low-pass filter were determined to filter the vibration signal of the rolling bearing, and COT was performed on the filtered envelope signal to obtain the angular domain stationary envelope signal. Then, The local mean decomposition using empirical optimal envelope (EOE_LMD) was used to process the resampled stationary envelope signal to obtain several product function (PF) components. Finally, the information entropy and correlation coefficient of each component were calculated, and the appropriate component was selected for order analysis to judge the fault type of variable speed rolling bearing. The results show that the proposed method can eliminate the influence of speed fluctuation on fault feature extraction, and has good fault diagnosis ability for rolling bearings under different variable speed conditions.

Key words： rolling bearing empirical optimal envelope(EOE) local mean decomposition (LMD) computing order tracking (COT) variable speed conditions

收稿日期: 2023-03-22 出版日期: 2024-04-15

引用本文:

张超，买买提热依木?阿布力孜. 基于EOE_LMD和阶次跟踪分析的变转速轴承故障诊断[J]. 振动与冲击, 2024, 43(7): 308-316.
ZHANG Chao, MAIMAITIREYIMU Abulizi. Fault diagnosis of variable rotating speed rolling bearing based on EOE_LMD and order tracking analysis. JOURNAL OF VIBRATION AND SHOCK, 2024, 43(7): 308-316.

链接本文:

http://jvs.sjtu.edu.cn/CN/ 或 http://jvs.sjtu.edu.cn/CN/Y2024/V43/I7/308

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