Rolling Bearing Fault Diagnosis Based on Convolutional Neural Network and Support Vector Machine

IEEE Access ◽

10.1109/access.2020.3012053 ◽

2020 ◽

Vol 8 ◽

pp. 137395-137406 ◽

Cited By ~ 2

Author(s):

Laohu Yuan ◽

Dongshan Lian ◽

Xue Kang ◽

Yuanqiang Chen ◽

Kejia Zhai

Keyword(s):

Neural Network ◽

Support Vector Machine ◽

Fault Diagnosis ◽

Convolutional Neural Network ◽

Rolling Bearing ◽

Support Vector ◽

Bearing Fault ◽

Bearing Fault Diagnosis

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Modified multiscale weighted permutation entropy and optimized support vector machine method for rolling bearing fault diagnosis with complex signals

ISA Transactions ◽

10.1016/j.isatra.2020.12.054 ◽

2021 ◽

Author(s):

Zhenya Wang ◽

Ligang Yao ◽

Gang Chen ◽

Jiaxin Ding

Keyword(s):

Support Vector Machine ◽

Fault Diagnosis ◽

Rolling Bearing ◽

Permutation Entropy ◽

Support Vector ◽

Complex Signals ◽

Machine Method ◽

Support Vector Machine Method ◽

Bearing Fault ◽

Bearing Fault Diagnosis

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Few-shot Learning for Rolling Bearing Fault Diagnosis Via Siamese Two-dimensional Convolutional Neural Network

2020 11th International Conference on Prognostics and System Health Management (PHM-2020 Jinan) ◽

10.1109/phm-jinan48558.2020.00073 ◽

2020 ◽

Author(s):

Yizhuo Yang ◽

Huan Wang ◽

Zhiliang Liu ◽

Zeyu Yang

Keyword(s):

Neural Network ◽

Fault Diagnosis ◽

Convolutional Neural Network ◽

Rolling Bearing ◽

Two Dimensional ◽

Bearing Fault ◽

Bearing Fault Diagnosis

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Few-shot Learning for Rolling Bearing Fault Diagnosis Based on Residual Convolutional Neural Network

2021 4th International Conference on Artificial Intelligence and Big Data (ICAIBD) ◽

10.1109/icaibd51990.2021.9459024 ◽

2021 ◽

Author(s):

Zihao Cui ◽

Xiangwei Kong ◽

Peifeng Hao

Keyword(s):

Neural Network ◽

Fault Diagnosis ◽

Convolutional Neural Network ◽

Rolling Bearing ◽

Bearing Fault ◽

Bearing Fault Diagnosis

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Hierarchical fuzzy entropy and improved support vector machine based binary tree approach for rolling bearing fault diagnosis

Mechanism and Machine Theory ◽

10.1016/j.mechmachtheory.2015.11.010 ◽

2016 ◽

Vol 98 ◽

pp. 114-132 ◽

Cited By ~ 45

Author(s):

Yongbo Li ◽

Minqiang Xu ◽

Haiyang Zhao ◽

Wenhu Huang

Keyword(s):

Support Vector Machine ◽

Fault Diagnosis ◽

Binary Tree ◽

Rolling Bearing ◽

Fuzzy Entropy ◽

Support Vector ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Improved Support Vector Machine ◽

Tree Approach

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A method for rolling bearing fault diagnosis based on the power spectrum analysis and support vector machine

IEEE 10th International Conference on Industrial Informatics ◽

10.1109/indin.2012.6301231 ◽

2012 ◽

Author(s):

Tian Guishuang ◽

Shaoping Wang ◽

Chao Zhang

Keyword(s):

Support Vector Machine ◽

Fault Diagnosis ◽

Power Spectrum ◽

Spectrum Analysis ◽

Rolling Bearing ◽

Power Spectrum Analysis ◽

Support Vector ◽

Bearing Fault ◽

Bearing Fault Diagnosis

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Rolling bearing fault diagnosis based on feature fusion with parallel convolutional neural network

The International Journal of Advanced Manufacturing Technology ◽

10.1007/s00170-020-06401-8 ◽

2020 ◽

Author(s):

Mingxuan Liang ◽

Pei Cao ◽

J. Tang

Keyword(s):

Neural Network ◽

Fault Diagnosis ◽

Convolutional Neural Network ◽

Feature Fusion ◽

Rolling Bearing ◽

Bearing Fault ◽

Bearing Fault Diagnosis

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Rolling Bearing Fault Diagnosis Using Enhanced Convolutional Neural Network with Compressed Sensing

2018 International Conference on Sensing,Diagnostics, Prognostics, and Control (SDPC) ◽

10.1109/sdpc.2018.8665008 ◽

2018 ◽

Cited By ~ 2

Author(s):

Tianchen Liang ◽

Jiayao Wang ◽

Haoyu Wang ◽

Shuaipeng Wu

Keyword(s):

Neural Network ◽

Fault Diagnosis ◽

Compressed Sensing ◽

Convolutional Neural Network ◽

Rolling Bearing ◽

Bearing Fault ◽

Bearing Fault Diagnosis

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A novel deep stacking least squares support vector machine for rolling bearing fault diagnosis

Computers in Industry ◽

10.1016/j.compind.2019.05.005 ◽

2019 ◽

Vol 110 ◽

pp. 36-47 ◽

Cited By ~ 25

Author(s):

Xin Li ◽

Yu Yang ◽

Haiyang Pan ◽

Jian Cheng ◽

Junsheng Cheng

Keyword(s):

Support Vector Machine ◽

Fault Diagnosis ◽

Least Squares ◽

Rolling Bearing ◽

Support Vector ◽

Bearing Fault ◽

Bearing Fault Diagnosis

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Rolling Bearing Fault Diagnosis and Prediction Method Based on Gray Support Vector Machine Model

2015 International Conference on Computer Science and Mechanical Automation (CSMA) ◽

10.1109/csma.2015.69 ◽

2015 ◽

Cited By ~ 1

Author(s):

Jianhua Wang ◽

Taiti Kang

Keyword(s):

Support Vector Machine ◽

Fault Diagnosis ◽

Support Vector Machine Model ◽

Prediction Method ◽

Rolling Bearing ◽

Support Vector ◽

Machine Model ◽

Bearing Fault ◽

Bearing Fault Diagnosis

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A new rolling bearing fault diagnosis method based on multiscale permutation entropy and improved support vector machine based binary tree

Measurement ◽

10.1016/j.measurement.2015.08.034 ◽

2016 ◽

Vol 77 ◽

pp. 80-94 ◽

Cited By ~ 136

Author(s):

Yongbo Li ◽

Minqiang Xu ◽

Yu Wei ◽

Wenhu Huang

Keyword(s):

Support Vector Machine ◽

Fault Diagnosis ◽

Binary Tree ◽

Rolling Bearing ◽

Permutation Entropy ◽

Support Vector ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Diagnosis Method ◽

Improved Support Vector Machine

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