VMD样本熵特征提取方法及其在行星变速箱故障诊断中的应用

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振动与冲击 ›› 2018, Vol. 37 ›› Issue (16) : 198-205.

论文

杨大为，冯辅周，赵永东，江鹏程，丁闯

作者信息 +

A VMD sample entropy feature extraction method and its application in planetary gearbox fault diagnosis

YANG Dawei,FENG Fuzhou,ZHAO Yongdong,JIANG Pengcheng,DING Chuang

Author information +

文章历史 +

摘要

针对行星变速箱故障特征微弱、信号传递路径复杂，传统样本熵特征难以区分其工作状态的问题，提出了结合变分模态分解（VMD）和样本熵的特征提取方法，深入研究了VMD算法中分解尺度和二次惩罚因子的优化策略，给出了基于敏感度最大原则的VMD分解各IMF与原信号相关系数阈值的确定方法。在行星变速箱故障模拟试验台采集不同试验工况下振动信号，考虑行星齿轮运行周期问题以获取可用数据。结果表明，与样本熵和EEMD样本熵相比，VMD样本熵具有计算效率高、对不同状态的区分能力强、采样频率对其计算结果影响小等特点，可用于行星变速箱的故障诊断。

Abstract

To address the problem that traditional sample entropy cannot distinguish the planetary gearbox’s working condition as its weak fault feature and complex signal transmission path, a feature extraction method combining variational mode decomposition (VMD) and sample entropy was proposed.We have studied optimization strategies of VMD decomposition scale and secondary penalty factors, determined the threshold of correlation coefficient between IMF and the original signal on maximum sensitivity principle, collected vibration signals under various operating conditions in a planetary gearbox fault simulation experiment table, and considered the planetary gear cycle problem to obtain available data.The results show that, compared to sample entropy and EEMD sample entropy, VMD sample entropy has characteristics of high computational efficiency and a strong ability to distinguish between various conditions, and sampling frequency has little effect on results.This information can be used in planetary gearbox fault diagnosis.

导出引用

杨大为，冯辅周，赵永东，江鹏程，丁闯. VMD样本熵特征提取方法及其在行星变速箱故障诊断中的应用[J]. 振动与冲击, 2018, 37(16): 198-205

YANG Dawei,FENG Fuzhou,ZHAO Yongdong,JIANG Pengcheng,DING Chuang . A VMD sample entropy feature extraction method and its application in planetary gearbox fault diagnosis[J]. Journal of Vibration and Shock, 2018, 37(16): 198-205

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