Physics-Based Convolutional Neural Network for Fault Diagnosis of Rolling Element Bearings

IEEE Sensors Journal ◽

10.1109/jsen.2019.2898634 ◽

2019 ◽

Vol 19 (11) ◽

pp. 4181-4192 ◽

Author(s):

Mohammadkazem Sadoughi ◽

Chao Hu

Keyword(s):

Neural Network ◽

Fault Diagnosis ◽

Convolutional Neural Network ◽

Rolling Element Bearings ◽

Rolling Element

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Intelligent Fault Diagnosis of Rolling Element Bearing Based on Convolutional Neural Network and Frequency Spectrograms

2019 IEEE International Conference on Prognostics and Health Management (ICPHM) ◽

10.1109/icphm.2019.8819444 ◽

2019 ◽

Author(s):

Pengfei Liang ◽

Chao Deng ◽

Jun Wu ◽

Zhixin Yang ◽

Jinxuan Zhu

Keyword(s):

Neural Network ◽

Fault Diagnosis ◽

Convolutional Neural Network ◽

Rolling Element Bearing ◽

Intelligent Fault Diagnosis ◽

Rolling Element ◽

Element Bearing

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Fault diagnosis of rolling element bearings using an EMRAN RBF neural network- demonstrated using real experimental data

2010 Sixth International Conference on Natural Computation ◽

10.1109/icnc.2010.5583833 ◽

2010 ◽

Author(s):

Ihab Samy ◽

Ip-Shing Fan ◽

Suresh Perinpanayagam

Keyword(s):

Neural Network ◽

Experimental Data ◽

Fault Diagnosis ◽

Rbf Neural Network ◽

Rolling Element Bearings ◽

Rolling Element ◽

Real Experimental Data

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Fault diagnosis based on dependent feature vector and probability neural network for rolling element bearings

Applied Mathematics and Computation ◽

10.1016/j.amc.2014.09.062 ◽

2014 ◽

Vol 247 ◽

pp. 835-847 ◽

Author(s):

Xiaoyue Chen ◽

Jianzhong Zhou ◽

Jian Xiao ◽

Xinxin Zhang ◽

Han Xiao ◽

...

Keyword(s):

Neural Network ◽

Fault Diagnosis ◽

Feature Vector ◽

Rolling Element Bearings ◽

Rolling Element ◽

Probability Neural Network

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Convolutional Neural Network Based Rolling-Element Bearing Fault Diagnosis for Naturally Occurring and Progressing Defects Using Time-Frequency Domain Features

2019 Prognostics and System Health Management Conference (PHM-Paris) ◽

10.1109/phm-paris.2019.00061 ◽

2019 ◽

Author(s):

Vibhor Pandhare ◽

Jaskaran Singh ◽

Jay Lee

Keyword(s):

Neural Network ◽

Fault Diagnosis ◽

Convolutional Neural Network ◽

Frequency Domain ◽

Rolling Element Bearing ◽

Time Frequency ◽

Bearing Fault Diagnosis ◽

Naturally Occurring ◽

Rolling Element ◽

Element Bearing

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Rolling element bearing fault diagnosis using convolutional neural network and vibration image

Cognitive Systems Research ◽

10.1016/j.cogsys.2018.03.002 ◽

2019 ◽

Vol 53 ◽

pp. 42-50 ◽

Author(s):

Duy-Tang Hoang ◽

Hee-Jun Kang

Keyword(s):

Neural Network ◽

Fault Diagnosis ◽

Convolutional Neural Network ◽

Rolling Element Bearing ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Rolling Element ◽

Element Bearing

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Rolling Element Bearing Fault Diagnosis Using Compressed Sensing and Convolutional Neural Network

Structural Health Monitoring 2019 ◽

10.12783/shm2019/32413 ◽

2019 ◽

Author(s):

ZHANG JI-WANG ◽

DING KE-QIN

Keyword(s):

Neural Network ◽

Fault Diagnosis ◽

Compressed Sensing ◽

Convolutional Neural Network ◽

Rolling Element Bearing ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Rolling Element ◽

Element Bearing

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Fault diagnosis method for rolling element bearing with variable rotating speed using envelope order spectrum and convolutional neural network

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-190101 ◽

2019 ◽

Vol 37 (2) ◽

pp. 3027-3040 ◽

Author(s):

Danchen Zhu ◽

Yongxiang Zhang ◽

Lei Zhao

Keyword(s):

Neural Network ◽

Fault Diagnosis ◽

Convolutional Neural Network ◽

Rolling Element Bearing ◽

Rotating Speed ◽

Order Spectrum ◽

Rolling Element ◽

Diagnosis Method ◽

Element Bearing

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Cyclic Statistics Based Neural Network for Early Fault Diagnosis of Rolling Element Bearings

Lecture Notes in Computer Science - Advances in Neural Networks - ISNN 2004 ◽

10.1007/978-3-540-28648-6_95 ◽

2004 ◽

pp. 595-600

Author(s):

Fuchang Zhou ◽

Jin Chen ◽

Jun He ◽

Guo Bi ◽

Guicai Zhang ◽

...

Keyword(s):

Neural Network ◽

Fault Diagnosis ◽

Rolling Element Bearings ◽

Rolling Element ◽

Cyclic Statistics

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Identifying Faults of Rolling Element Based on Persistence Spectrum and Convolutional Neural Network with ResNet Structure

IEEE Access ◽

10.1109/access.2021.3083646 ◽

2021 ◽

pp. 1-1

Author(s):

Chun-Yao Lee ◽

Truong-An Le

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Rolling Element

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Deep Feature-aligned Convolutional Neural Network for Machinery Fault Diagnosis

2020 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD) ◽

10.1109/icsmd50554.2020.9261675 ◽

2020 ◽

Author(s):

Junbin Chen ◽

Longcan Liu ◽

Ruyi Huang ◽

Weihua Li

Keyword(s):

Neural Network ◽

Fault Diagnosis ◽

Convolutional Neural Network ◽

Deep Feature ◽

Machinery Fault Diagnosis

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