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Advanced Rolling Bearing Fault Diagnosis Using Ensemble Empirical Mode Decomposition, Principal Component Analysis and Probabilistic Neural Network

机译：先进的滚动轴承故障诊断使用集合经验模式分解，主成分分析和概率神经网络

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Caixia Gao; Tong Wu; Ziyi Fu;
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1. Multi-fault diagnosis of rolling bearing using fuzzy entropy of empirical mode decomposition, principal component analysis, and SOM neural network [J] . Zair Mohamed, Rahmoune Chemseddine, Benazzouz Djamel Proceedings of the Institution of Mechanical Engineers, Part C. Journal of mechanical engineering science . 2019,第9期

机译：经验模糊熵，主要成分分析和SOM神经网络模糊熵的多故障诊断滚动轴承
2. A novel sensor fault diagnosis method based on Modified Ensemble Empirical Mode Decomposition and Probabilistic Neural Network [J] . Yu Yunluo, Li Wei, Sheng Deren, Measurement . 2015,第Null期

机译：基于改进的集成经验模态分解和概率神经网络的传感器故障诊断新方法
3. Rolling bearing fault diagnosis approach using probabilistic principal component analysis denoising and cyclic bispectrum [J] . Jiang Bingzhen, Xiang Jiawei, Wang Yanxue Journal of vibration and control: JVC . 2016,第10期

机译：基于概率主成分分析和循环双谱的滚动轴承故障诊断方法
4. Rolling bearing fault diagnosis based on Improved Complete Ensemble Empirical Mode Decomposition [C] . Issam Attoui, Nadir Fergani, Brahim Oudjani, Proceedings of 2016 4th International Conference on Control Engineering amp; Information Technology . 2016

机译：基于改进的完整集合经验模态分解的滚动轴承故障诊断
5. Analysis of rolling element bearing faults in rotating machinery: Experiments, modeling, fault detection and diagnosis. [D] . Adams, Michael Louis. 2001

机译：旋转机械中滚动轴承故障的分析：实验，建模，故障检测和诊断。
6. A Compound Fault Diagnosis for Rolling Bearings Method Based on Blind Source Separation and Ensemble Empirical Mode Decomposition [O] . Huaqing Wang, Ruitong Li, Gang Tang, 2010

机译：基于盲源分离和集合经验模态分解的滚动轴承复合故障诊断方法。
7. A Compound fault diagnosis for rolling bearings method based on blind source separation and ensemble empirical mode decomposition. [O] . Huaqing Wang, Ruitong Li, Gang Tang, 2014

机译：基于盲源分离和集合经验模态分解的滚动轴承复合故障诊断方法。

Advanced Rolling Bearing Fault Diagnosis Using Ensemble Empirical Mode Decomposition, Principal Component Analysis and Probabilistic Neural Network

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