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FEATURE EXTRACTION ENHANCEMENT BASED ON PARAMETERLESS EMPIRICAL WAVELET TRANSFORM: APPLICATION TO BEARING FAULT DIAGNOSIS

机译：基于无参数验证小波变换的特征提取增强：轴承故障诊断的应用

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H. El-Mongy;
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1. Rolling bearing fault diagnosis based on improved adaptive parameterless empirical wavelet transform and sparse denoising [J] . Li Jimeng, Wang Hui, Wang Xiangdong, Measurement . 2020,第期

机译：基于改进自适应无参数经验小波变换和稀疏去噪的滚动轴承故障诊断
2. Adaptive parameterless empirical wavelet transform based time-frequency analysis method and its application to rotor rubbing fault diagnosis [J] . Jinde Zheng, Haiyang Pan, Shubao Yang, Signal processing . 2017,第jana期

机译：基于自适应无参数经验小波变换的时频分析方法及其在转子碰摩故障诊断中的应用
3. Application of an enhanced fast kurtogram based on empirical wavelet transform for bearing fault diagnosis [J] . Xu Yonggang, Tian Weikang, Zhang Kun, Measurement Science & Technology . 2019,第3期

机译：基于经验小波变换的轴承故障诊断应用增强的快速Kurtogram应用
4. Enhanced Empirical Wavelet Transform with Application to Rolling Bearings Fault Diagnosis [C] . XIAOTONG TU, YUE HU, FUCAI LI International workshop on structural health monitoring . 2017

机译：改进的经验小波变换在滚动轴承故障诊断中的应用
5. Feature extraction using wavelet analysis with application to machine fault diagnosis. [D] . Tafreshi, Reza. 2005

机译：小波分析的特征提取及其在机械故障诊断中的应用。
6. Fault Feature Extraction and Diagnosis of Rolling Bearings Based on Enhanced Complementary Empirical Mode Decomposition with Adaptive Noise and Statistical Time-Domain Features [O] . Liwei Zhan, Fang Ma, Jingjing Zhang, 2019

机译：基于自适应噪声和统计时域特征的增强型互补经验模态分解的滚动轴承故障特征提取与诊断
7. Bearing fault diagnosis based on feature extraction of empirical wavelet transform (EWT) and fuzzy logic system (FLS) under variable operating conditions [O] . Fawzi Gougam, Chemseddine Rahmoune, Djamel Benazzouz, 2019

机译：在可变操作条件下基于特征提取（EWT）和模糊逻辑系统（FLS）特征提取的轴承故障诊断

FEATURE EXTRACTION ENHANCEMENT BASED ON PARAMETERLESS EMPIRICAL WAVELET TRANSFORM: APPLICATION TO BEARING FAULT DIAGNOSIS

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