Robust condition monitoring and fault diagnosis of rolling element bearings using improved EEMD and statistical features

Author:

Jiang Fan,Zhu Zhencai,Li Wei,Chen Guoan,Zhou Gongbo

Publisher

IOP Publishing

Subject

Applied Mathematics,Instrumentation,Engineering (miscellaneous)

Cited by 45 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Rolling Bearing Fault Diagnosis Method Based on Improved CEEMDAN and RCMFE;Journal of Circuits, Systems and Computers;2023-06-30

2. A Rolling Bearing Fault Diagnosis Method based on improved MFE and WOA-PNN;2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC);2023-02-24

3. A New Dynamic Balance Framework Based on Blind Source Separation under Multiple Fault Conditions;Shock and Vibration;2022-09-29

4. Real-time identification of performance degradation stages of rolling element bearings by RVCFI;Measurement Science and Technology;2022-05-26

5. A comparative Analysis of 1D Convolutional Neural Networks for Bearing Fault Diagnosis;2022 International Conference on Decision Aid Sciences and Applications (DASA);2022-03-23

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