Roller Bearing Fault Diagnosis Based on Empirical Mode Decomposition and Targeting Feature Selection

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/630/1/012023 ◽

2019 ◽

Vol 630 ◽

pp. 012023

Author(s):

Xiaoyue chen ◽

Dang Ge ◽

Xiong Liu ◽

Mengchao Liu

Keyword(s):

Feature Selection ◽

Fault Diagnosis ◽

Empirical Mode Decomposition ◽

Roller Bearing ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Mode Decomposition

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Bearing-fault diagnosis using non-local means algorithm and empirical mode decomposition-based feature extraction and two-stage feature selection

IET Science Measurement & Technology ◽

10.1049/iet-smt.2014.0228 ◽

2015 ◽

Vol 9 (6) ◽

pp. 671-680 ◽

Author(s):

Mien Van ◽

Hee-Jun Kang

Keyword(s):

Feature Extraction ◽

Feature Selection ◽

Fault Diagnosis ◽

Empirical Mode Decomposition ◽

Two Stage ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Local Means ◽

Mode Decomposition ◽

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Influence of Stopping Criterion for Sifting Process of Empirical Mode Decomposition (EMD) on Roller Bearing Fault Diagnosis

Lecture Notes in Mechanical Engineering - Advances in Condition Monitoring of Machinery in Non-Stationary Operations ◽

10.1007/978-3-642-39348-8_33 ◽

2013 ◽

pp. 389-398 ◽

Author(s):

A. Tabrizi ◽

L. Garibaldi ◽

A. Fasana ◽

S. Marchesiello

Keyword(s):

Fault Diagnosis ◽

Empirical Mode Decomposition ◽

Roller Bearing ◽

Stopping Criterion ◽

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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Realizing the empirical mode decomposition by the adaptive stochastic resonance in a new periodical model and its application in bearing fault diagnosis

Journal of Mechanical Science and Technology ◽

10.1007/s12206-017-0906-6 ◽

2017 ◽

Vol 31 (10) ◽

pp. 4599-4610 ◽

Author(s):

Jingling Zhang ◽

Dawen Huang ◽

Jianhua Yang ◽

Houguang Liu ◽

Xiaole Liu

Keyword(s):

Fault Diagnosis ◽

Stochastic Resonance ◽

Empirical Mode Decomposition ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Mode Decomposition

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A New Method of Wind Turbine Bearing Fault Diagnosis Based on Multi-Masking Empirical Mode Decomposition and Fuzzy C-Means Clustering

Chinese Journal of Mechanical Engineering ◽

10.1186/s10033-019-0356-4 ◽

2019 ◽

Vol 32 (1) ◽

Author(s):

Yongtao Hu ◽

Shuqing Zhang ◽

Anqi Jiang ◽

Liguo Zhang ◽

Wanlu Jiang ◽

...

Keyword(s):

Fault Diagnosis ◽

Wind Turbine ◽

Empirical Mode Decomposition ◽

Bearing Fault ◽

Fuzzy C Means ◽

Bearing Fault Diagnosis ◽

Mode Decomposition ◽

Fuzzy C Means Clustering ◽

Turbine Bearing

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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 ◽

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 ◽

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Application of empirical mode decomposition and artificial neural network for automatic bearing fault diagnosis based on vibration signals

Applied Acoustics ◽

10.1016/j.apacoust.2014.08.016 ◽

2015 ◽

Vol 89 ◽

pp. 16-27 ◽

Author(s):

Jaouher Ben Ali ◽

Nader Fnaiech ◽

Lotfi Saidi ◽

Brigitte Chebel-Morello ◽

Farhat Fnaiech

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Fault Diagnosis ◽

Empirical Mode Decomposition ◽

Vibration Signals ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Mode Decomposition ◽

Artificial Neural

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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 ◽

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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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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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 ◽

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