Cost sensitive active learning using bidirectional gated recurrent neural networks for imbalanced fault diagnosis

Neurocomputing ◽

10.1016/j.neucom.2020.04.075 ◽

2020 ◽

Vol 407 ◽

pp. 232-245 ◽

Author(s):

Peng Peng ◽

Wenjia Zhang ◽

Yi Zhang ◽

Yanyan Xu ◽

Hongwei Wang ◽

...

Keyword(s):

Neural Networks ◽

Fault Diagnosis ◽

Active Learning ◽

Recurrent Neural Networks

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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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Satellite based fault diagnosis of photovoltaic systems using recurrent neural networks

Applied Energy ◽

10.1016/j.apenergy.2021.117874 ◽

2022 ◽

Vol 305 ◽

pp. 117874

Author(s):

Jonas Van Gompel ◽

Domenico Spina ◽

Chris Develder

Keyword(s):

Neural Networks ◽

Fault Diagnosis ◽

Recurrent Neural Networks ◽

Photovoltaic Systems

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Fault Diagnosis for a Steam Generator via Recurrent Neural Networks

Fault Detection, Supervision and Safety of Technical Processes 2006 ◽

10.1016/b978-008044485-7/50112-3 ◽

2007 ◽

pp. 663-668

Author(s):

Jose A. Ruz-Hernandez ◽

Dionisio A. Suarez ◽

Edgar N. Sanchez

Keyword(s):

Neural Networks ◽

Fault Diagnosis ◽

Steam Generator ◽

Recurrent Neural Networks

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Deep Convolutional and LSTM Recurrent Neural Networks for Rolling Bearing Fault Diagnosis Under Strong Noises and Variable Loads

IEEE Access ◽

10.1109/access.2020.2985617 ◽

2020 ◽

Vol 8 ◽

pp. 66257-66269 ◽

Author(s):

Meiying Qiao ◽

Shuhao Yan ◽

Xiaxia Tang ◽

Chengkuan Xu

Keyword(s):

Neural Networks ◽

Fault Diagnosis ◽

Recurrent Neural Networks ◽

Rolling Bearing ◽

Bearing Fault ◽

Bearing Fault Diagnosis

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Fault diagnosis of nonlinear systems using recurrent neural networks

Chemical Engineering Research and Design ◽

10.1016/j.cherd.2019.09.026 ◽

2020 ◽

Vol 153 ◽

pp. 233-245 ◽

Author(s):

Hadi Shahnazari

Keyword(s):

Neural Networks ◽

Fault Diagnosis ◽

Nonlinear Systems ◽

Recurrent Neural Networks

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Modeling and Soft-fault Diagnosis of Underwater Thrusters with Recurrent Neural Networks

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2018.09.473 ◽

2018 ◽

Vol 51 (29) ◽

pp. 80-85 ◽

Author(s):

Samy Nascimento ◽

Matias Valdenegro-Toro

Keyword(s):

Neural Networks ◽

Fault Diagnosis ◽

Recurrent Neural Networks ◽

Soft Fault Diagnosis

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Fault diagnosis of rotating machinery based on recurrent neural networks

Measurement ◽

10.1016/j.measurement.2020.108774 ◽

2021 ◽

Vol 171 ◽

pp. 108774

Author(s):

Yahui Zhang ◽

Taotao Zhou ◽

Xufeng Huang ◽

Longchao Cao ◽

Qi Zhou

Keyword(s):

Neural Networks ◽

Fault Diagnosis ◽

Recurrent Neural Networks ◽

Rotating Machinery

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On-line fault diagnosis of nonlinear dynamical systems using recurrent neural networks

10.5353/th_b3124238 ◽

2000 ◽

Author(s):

Ying Wang

Keyword(s):

Neural Networks ◽

Fault Diagnosis ◽

Dynamical Systems ◽

Recurrent Neural Networks ◽

Nonlinear Dynamical Systems ◽

Nonlinear Dynamical ◽

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A global and updatable ECG beat classification system based on recurrent neural networks and active learning

Information Sciences ◽

10.1016/j.ins.2018.06.062 ◽

2019 ◽

Vol 501 ◽

pp. 523-542 ◽

Author(s):

Guijin Wang ◽

Chenshuang Zhang ◽

Yongpan Liu ◽

Huazhong Yang ◽

Dapeng Fu ◽

...

Keyword(s):

Neural Networks ◽

Active Learning ◽

Recurrent Neural Networks ◽

Classification System ◽

Beat Classification

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Railway Track Circuit Fault Diagnosis Using Recurrent Neural Networks

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2016.2551940 ◽

2017 ◽

Vol 28 (3) ◽

pp. 523-533 ◽

Author(s):

Tim de Bruin ◽

Kim Verbert ◽

Robert Babuska

Keyword(s):

Neural Networks ◽

Fault Diagnosis ◽

Recurrent Neural Networks ◽

Railway Track ◽

Track Circuit ◽

Circuit Fault Diagnosis

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