Rolling bearing fault diagnosis based on Improved Complete Ensemble Empirical Mode Decomposition

2016 4th International Conference on Control Engineering & Information Technology (CEIT) ◽

10.1109/ceit.2016.7929102 ◽

2016 ◽

Author(s):

Issam Attoui ◽

Nadir Fergani ◽

Brahim Oudjani ◽

Adel Deliou

Keyword(s):

Fault Diagnosis ◽

Empirical Mode Decomposition ◽

Rolling Bearing ◽

Ensemble Empirical Mode Decomposition ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Mode Decomposition

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Improved Ensemble Empirical Mode Decomposition for Rolling Bearing Fault Diagnosis

TELKOMNIKA Indonesian Journal of Electrical Engineering ◽

10.11591/telkomnika.v12i1.2928 ◽

2014 ◽

Vol 12 (1) ◽

Author(s):

Youpeng Zhang ◽

Ting Zhang ◽

Jie Teng ◽

Hongsheng Su

Keyword(s):

Fault Diagnosis ◽

Empirical Mode Decomposition ◽

Rolling Bearing ◽

Ensemble Empirical Mode Decomposition ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Mode Decomposition

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Rolling bearing fault diagnosis based on partially ensemble empirical mode decomposition and variable predictive model-based class discrimination

Archives of Civil and Mechanical Engineering ◽

10.1016/j.acme.2016.05.003 ◽

2016 ◽

Vol 16 (4) ◽

pp. 784-794 ◽

Cited By ~ 14

Author(s):

Jinde Zheng

Keyword(s):

Fault Diagnosis ◽

Predictive Model ◽

Empirical Mode Decomposition ◽

Rolling Bearing ◽

Ensemble Empirical Mode Decomposition ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Class Discrimination ◽

Model Based ◽

Mode Decomposition

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An improved complementary ensemble empirical mode decomposition method and its application in rolling bearing fault diagnosis

Digital Signal Processing ◽

10.1016/j.dsp.2021.103050 ◽

2021 ◽

pp. 103050

Author(s):

Jun Gu ◽

Yuxing Peng

Keyword(s):

Fault Diagnosis ◽

Empirical Mode Decomposition ◽

Decomposition Method ◽

Rolling Bearing ◽

Ensemble Empirical Mode Decomposition ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Mode Decomposition ◽

Empirical Mode Decomposition Method

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Rolling Bearing Fault Diagnosis Based on an Improved Denoising Method Using the Complete Ensemble Empirical Mode Decomposition and the Optimized Thresholding Operation

IEEE Sensors Journal ◽

10.1109/jsen.2018.2853136 ◽

2018 ◽

Vol 18 (17) ◽

pp. 7166-7172 ◽

Cited By ~ 20

Author(s):

Rabah Abdelkader ◽

Abdelhafid Kaddour ◽

Azeddine Bendiabdellah ◽

Ziane Derouiche

Keyword(s):

Fault Diagnosis ◽

Empirical Mode Decomposition ◽

Rolling Bearing ◽

Ensemble Empirical Mode Decomposition ◽

Denoising Method ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Mode Decomposition

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Noise Eliminated Ensemble Empirical Mode Decomposition for Bearing Fault Diagnosis

Journal of Vibration Engineering & Technologies ◽

10.1007/s42417-021-00358-y ◽

2021 ◽

Author(s):

Atik Faysal ◽

Wai Keng Ngui ◽

M. H. Lim

Keyword(s):

Fault Diagnosis ◽

Empirical Mode Decomposition ◽

Ensemble Empirical Mode Decomposition ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Mode Decomposition

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An improved complementary ensemble empirical mode decomposition with adaptive noise and its application to rolling element bearing fault diagnosis

ISA Transactions ◽

10.1016/j.isatra.2019.01.038 ◽

2019 ◽

Vol 91 ◽

pp. 218-234 ◽

Cited By ~ 18

Author(s):

Yao Cheng ◽

Zhiwei Wang ◽

Bingyan Chen ◽

Weihua Zhang ◽

Guanhua Huang

Keyword(s):

Fault Diagnosis ◽

Empirical Mode Decomposition ◽

Ensemble Empirical Mode Decomposition ◽

Rolling Element Bearing ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Mode Decomposition ◽

Rolling Element ◽

Element Bearing ◽

Adaptive Noise

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Enhancement of rolling bearing fault diagnosis based on improvement of empirical mode decomposition denoising method

The International Journal of Advanced Manufacturing Technology ◽

10.1007/s00170-018-2167-7 ◽

2018 ◽

Vol 97 (5-8) ◽

pp. 3099-3117 ◽

Cited By ~ 16

Author(s):

Rabah Abdelkader ◽

Abdelhafid Kaddour ◽

Ziane Derouiche

Keyword(s):

Fault Diagnosis ◽

Empirical Mode Decomposition ◽

Rolling Bearing ◽

Denoising Method ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Mode Decomposition

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Bearing fault diagnosis based on ensemble empirical mode decomposition and teager energy operator

2017 IEEE 13th International Colloquium on Signal Processing & its Applications (CSPA) ◽

10.1109/cspa.2017.8064924 ◽

2017 ◽

Author(s):

Cristian Lo pez ◽

Wei Zhong ◽

Feiyun Cong ◽

Victor Hidalgo

Keyword(s):

Fault Diagnosis ◽

Empirical Mode Decomposition ◽

Energy Operator ◽

Ensemble Empirical Mode Decomposition ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Teager Energy Operator ◽

Mode Decomposition ◽

Teager Energy

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Ensemble empirical mode decomposition and Hilbert-Huang transform applied to bearing fault diagnosis

2010 3rd International Congress on Image and Signal Processing ◽

10.1109/cisp.2010.5647389 ◽

2010 ◽

Cited By ~ 5

Author(s):

Hui Li ◽

Yucai Wang ◽

Yanfang Ma

Keyword(s):

Fault Diagnosis ◽

Empirical Mode Decomposition ◽

Ensemble Empirical Mode Decomposition ◽

Hilbert Huang Transform ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Mode Decomposition

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

Journal of Robotics Networking and Artificial Life ◽

10.2991/jrnal.2018.5.1.3 ◽

2018 ◽

Vol 5 (1) ◽

pp. 10

Author(s):

Caixia Gao ◽

Tong Wu ◽

Ziyi Fu

Keyword(s):

Neural Network ◽

Principal Component Analysis ◽

Fault Diagnosis ◽

Empirical Mode Decomposition ◽

Probabilistic Neural Network ◽

Principal Component ◽

Rolling Bearing ◽

Ensemble Empirical Mode Decomposition ◽

Bearing Fault Diagnosis ◽

Mode Decomposition

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