Intelligent Motor Fault Diagnosis Using Dynamic Structural Neural Networks with Bat-Algorithm Based Terminal Attractor Learning

2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC) ◽

10.1109/smc.2018.00419 ◽

2018 ◽

Author(s):

Chwan-Lu Tseng ◽

Che-Shen Cheng ◽

Bo-Hung Wang ◽

Yu-Hsien Hsu ◽

Bing-Hung Yang

Keyword(s):

Neural Networks ◽

Fault Diagnosis ◽

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Comparing the Effectiveness of Two Convolutional Neural Networks Methods on Fault Diagnosis

2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS) ◽

10.1109/ddcls49620.2020.9275096 ◽

2020 ◽

Author(s):

Yinping Liu ◽

Junmin Li

Keyword(s):

Neural Networks ◽

Fault Diagnosis ◽

Convolutional Neural Networks

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Soft Fault Diagnosis for DC-DC Converters with Wavelet Transform and Fuzzy Cerebellar Model Neural Networks

2020 IEEE 9th International Power Electronics and Motion Control Conference (IPEMC2020-ECCE Asia) ◽

10.1109/ipemc-ecceasia48364.2020.9367826 ◽

2020 ◽

Author(s):

Zipeng Han ◽

Qiongbin Lin ◽

Zhe Zhang

Keyword(s):

Neural Networks ◽

Wavelet Transform ◽

Fault Diagnosis ◽

Soft Fault Diagnosis

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Rolling Bearing Fault Diagnosis Based on Horizontal Visibility Graph and Graph Neural Networks

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

10.1109/icsmd50554.2020.9261687 ◽

2020 ◽

Author(s):

Chenyang Li ◽

Lingfei Mo ◽

Ruqiang Yan

Keyword(s):

Neural Networks ◽

Fault Diagnosis ◽

Rolling Bearing ◽

Visibility Graph ◽

Horizontal Visibility ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Graph Neural Networks ◽

Horizontal Visibility Graph

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Attention-based Convolutional Neural Networks for Diesel Fuel System Fault Diagnosis

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

10.1109/icsmd50554.2020.9261700 ◽

2020 ◽

Author(s):

Yijing Xie ◽

Tianlin Niu ◽

Siyu Shao ◽

Yuwei Zhao ◽

Yuemeng Cheng

Keyword(s):

Neural Networks ◽

Fault Diagnosis ◽

Convolutional Neural Networks ◽

Diesel Fuel ◽

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Visualization analysis for fault diagnosis in chemical processes using recurrent neural networks

Journal of the Taiwan Institute of Chemical Engineers ◽

10.1016/j.jtice.2020.06.016 ◽

2020 ◽

Vol 112 ◽

pp. 137-151

Author(s):

Jia-Lin Kang

Keyword(s):

Neural Networks ◽

Fault Diagnosis ◽

Recurrent Neural Networks ◽

Chemical Processes ◽

Visualization Analysis

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Function analysis based rule extraction from artificial neural networks for transformer incipient fault diagnosis

International Journal of Electrical Power & Energy Systems ◽

10.1016/j.ijepes.2012.06.042 ◽

2012 ◽

Vol 43 (1) ◽

pp. 1196-1203 ◽

Author(s):

Deepika Bhalla ◽

Raj Kumar Bansal ◽

Hari Om Gupta

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Fault Diagnosis ◽

Function Analysis ◽

Rule Extraction ◽

Incipient Fault ◽

Artificial Neural ◽

Incipient Fault Diagnosis

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Application of Artificial Neural Networks in Process Fault Diagnosis

IFAC Proceedings Volumes ◽

10.1016/s1474-6670(17)51177-5 ◽

1991 ◽

Vol 24 (6) ◽

pp. 423-428

Author(s):

T. Sorsa ◽

H.N. Koivo

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Fault Diagnosis ◽

Artificial Neural ◽

Process Fault Diagnosis

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An explainable one-dimensional convolutional neural networks based fault diagnosis method for building heating, ventilation and air conditioning systems

Building and Environment ◽

10.1016/j.buildenv.2021.108057 ◽

2021 ◽

pp. 108057

Author(s):

Guannan Li ◽

Qing Yao ◽

Cheng Fan ◽

Chunlin Zhou ◽

Guanghai Wu ◽

...

Keyword(s):

Neural Networks ◽

Fault Diagnosis ◽

Convolutional Neural Networks ◽

Air Conditioning ◽

One Dimensional ◽

Diagnosis Method ◽

Air Conditioning Systems

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Coupling fault diagnosis of wind turbine gearbox based on multitask parallel convolutional neural networks with overall information

Renewable Energy ◽

10.1016/j.renene.2021.06.088 ◽

2021 ◽

Author(s):

Sheng Guo ◽

Tao Yang ◽

Haochen Hua ◽

Junwei Cao

Keyword(s):

Neural Networks ◽

Fault Diagnosis ◽

Wind Turbine ◽

Convolutional Neural Networks ◽

Wind Turbine Gearbox ◽

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Multiple Sensors Fault Diagnosis for Rolling Bearing Based on Variational Mode Decomposition and Convolutional Neural Networks

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

10.1109/phm-jinan48558.2020.00087 ◽

2020 ◽

Author(s):

Qilin Hou ◽

Jinglin Wang ◽

Yong Shen

Keyword(s):

Neural Networks ◽

Fault Diagnosis ◽

Convolutional Neural Networks ◽

Rolling Bearing ◽

Variational Mode Decomposition ◽

Multiple Sensors ◽

Mode Decomposition

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