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沈阳工业大学 信息科学与工程学院,沈阳 110870
李赟,男,1993年生,河南开封人,博士研究生;主要研究方向为机械装备故障诊断;1786308837@qq.com。
于洋,女,辽宁沈阳人,博士,教授;主要研究方向为装备故障监测与健康管理;yuy@sut.edu.cn。
收稿日期:2024-05-10,
纸质出版日期:2025-09-15
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李赟,于洋,杨平. 改进Teager能量包络和EWT的轴承故障声发射诊断方法[J]. 机械传动,2025,49(9):143-150.
LI Yun,YU Yang,YANG Ping. Acoustic emission diagnosis method of bearing faults based on improved Teager energy envelope and EWT[J]. Journal of Mechanical Transmission,2025,49(9):143-150.
李赟,于洋,杨平. 改进Teager能量包络和EWT的轴承故障声发射诊断方法[J]. 机械传动,2025,49(9):143-150. DOI: 10.16578/j.issn.1004.2539.2025.09.018.
LI Yun,YU Yang,YANG Ping. Acoustic emission diagnosis method of bearing faults based on improved Teager energy envelope and EWT[J]. Journal of Mechanical Transmission,2025,49(9):143-150. DOI: 10.16578/j.issn.1004.2539.2025.09.018.
目的
2
针对滚动轴承早期故障声发射信号信噪比低、故障特征难提取的问题,提出一种改进Teager能量包络和经验小波变换(Empirical Wavelet Transform
EWT)的故障特征提取方法。
方法
2
该方法通过改进Teager能量包络处理,凸显轴承故障声发射信号的冲击特征;采用经验小波变换对改进Teager能量包络序列进行分解;通过经验小波峭度指标筛选分量并重构,进而对重构声发射信号进行包络分析。
结果
2
仿真与试验结果表明,该方法能够有效抑制噪声,增强故障弹性波,可准确提取轴承故障声发射信号的频率特征。
Objective
2
Aiming at the problems of low signal-to-noise ratio and difficulty in extracting fault features from acoustic emission signals of rolling bearing early faults
a fault feature extraction method combining improved Teager energy envelope and empirical wavelet transform (EWT) was proposed.
Methods
2
In this method
the impact characteristics of bearing fault acoustic emission signals were highlighted through improved Teager energy envelope processing. The empirical wavelet transform was applied to decompose the improved Teager energy envelope sequence. Components were screened and reconstructed using the empirical wavelet kurtosis index
and then the envelope analysis was performed on the reconstructed acoustic emission signals.
Results
2
Simulation and test results show that this method can effectively suppress noise
enhance fault elastic waves
and accurately extract the frequency characteristics of bearing fault acoustic emission signals.
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