A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method

IEEE Transactions on Industrial Electronics ◽

10.1109/tie.2017.2774777 ◽

2018 ◽

Vol 65 (7) ◽

pp. 5990-5998 ◽

Author(s):

Long Wen ◽

Xinyu Li ◽

Liang Gao ◽

Yuyan Zhang

Keyword(s):

Neural Network ◽

Fault Diagnosis ◽

Convolutional Neural Network ◽

Data Driven ◽

Diagnosis Method

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Data-driven fault diagnosis method based on the conversion of erosion operation signals into images and Convolutional Neural Network

Process Safety and Environmental Protection ◽

10.1016/j.psep.2021.03.016 ◽

2021 ◽

Author(s):

Zhijian Wang ◽

Wenlei Zhao ◽

Du Wenhua ◽

Naipeng Li ◽

Junyuan Wang

Keyword(s):

Neural Network ◽

Fault Diagnosis ◽

Convolutional Neural Network ◽

Data Driven ◽

Diagnosis Method

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Research on Power Grid Fault Diagnosis Method Based on PMU Data and Convolutional Neural Network

2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2) ◽

10.1109/ei250167.2020.9347132 ◽

2020 ◽

Author(s):

Xuanwen Ding ◽

Xin Zhu ◽

Xiaopeng Li ◽

Chun Zhang

Keyword(s):

Neural Network ◽

Fault Diagnosis ◽

Convolutional Neural Network ◽

Diagnosis Method

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Bearing Fault Diagnosis Method Based on Vision Measurement and Convolutional Neural Network

10.1007/978-981-15-8155-7_448 ◽

2021 ◽

pp. 5429-5437

Author(s):

Shan Chao ◽

Cong Peng

Keyword(s):

Neural Network ◽

Fault Diagnosis ◽

Convolutional Neural Network ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Vision Measurement ◽

Diagnosis Method

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ASM1D-GAN: An Intelligent Fault Diagnosis Method Based on Assembled 1D Convolutional Neural Network and Generative Adversarial Networks

Journal of Signal Processing Systems ◽

10.1007/s11265-019-01463-8 ◽

2019 ◽

Vol 91 (10) ◽

pp. 1237-1247 ◽

Author(s):

Shengyao Gao ◽

Xueren Wang ◽

Xuhong Miao ◽

Changwei Su ◽

Yibin Li

Keyword(s):

Neural Network ◽

Fault Diagnosis ◽

Convolutional Neural Network ◽

Generative Adversarial Networks ◽

Intelligent Fault Diagnosis ◽

Adversarial Networks ◽

Diagnosis Method

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Data-Driven Feature Extraction for Analog Circuit Fault Diagnosis Using 1-D Convolutional Neural Network

IEEE Access ◽

10.1109/access.2020.2968744 ◽

2020 ◽

Vol 8 ◽

pp. 18305-18315 ◽

Author(s):

Huahui Yang ◽

Chen Meng ◽

Cheng Wang

Keyword(s):

Neural Network ◽

Feature Extraction ◽

Fault Diagnosis ◽

Convolutional Neural Network ◽

Analog Circuit ◽

Data Driven ◽

Circuit Fault Diagnosis

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An Intelligent Fault Diagnosis Method based on STFT and Convolutional Neural Network for Bearings Under Variable Working Conditions

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

10.1109/phm-qingdao46334.2019.8943026 ◽

2019 ◽

Author(s):

Dawei Zhong ◽

Wei Guo ◽

Da He

Keyword(s):

Neural Network ◽

Fault Diagnosis ◽

Convolutional Neural Network ◽

Working Conditions ◽

Intelligent Fault Diagnosis ◽

Diagnosis Method

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An EEMD and convolutional neural network based fault diagnosis method in intelligent power plant

2019 Chinese Automation Congress (CAC) ◽

10.1109/cac48633.2019.8996268 ◽

2019 ◽

Author(s):

Hongwei Jin ◽

Huanming Wang ◽

Feng Tian ◽

Chunhui Zhao

Keyword(s):

Neural Network ◽

Fault Diagnosis ◽

Power Plant ◽

Convolutional Neural Network ◽

Diagnosis Method

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A new fault diagnosis method based on convolutional neural network and compressive sensing

Journal of Mechanical Science and Technology ◽

10.1007/s12206-019-1007-5 ◽

2019 ◽

Vol 33 (11) ◽

pp. 5177-5188 ◽

Author(s):

Yunfei Ma ◽

Xisheng Jia ◽

Huajun Bai ◽

Guozeng Liu ◽

Guanglong Wang ◽

...

Keyword(s):

Neural Network ◽

Fault Diagnosis ◽

Convolutional Neural Network ◽

Compressive Sensing ◽

Diagnosis Method

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A process fault diagnosis method using multi‐time scale dynamic feature extraction based on convolutional neural network

The Canadian Journal of Chemical Engineering ◽

10.1002/cjce.23740 ◽

2020 ◽

Vol 98 (6) ◽

pp. 1280-1292 ◽

Author(s):

Xinrui Gao ◽

Fan Yang ◽

Enbo Feng

Keyword(s):

Neural Network ◽

Feature Extraction ◽

Fault Diagnosis ◽

Convolutional Neural Network ◽

Dynamic Feature ◽

Diagnosis Method ◽

Process Fault Diagnosis

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Aero Engines Fault Diagnosis Method Based on Convolutional Neural Network Using Multiple Attention Mechanism

10.1109/sdpc52933.2021.9563376 ◽

2021 ◽

Author(s):

Haile Yang ◽

Lin Lin ◽

Shisheng Zhong ◽

Feng Guo ◽

Zhiquan Cui

Keyword(s):

Neural Network ◽

Fault Diagnosis ◽

Convolutional Neural Network ◽

Attention Mechanism ◽

Diagnosis Method ◽

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