A Failure Diagnosis Approach for Firefighting Pump Based Deep Learning GRU Methodology

Liu, Wen-Bin; Bui, Thuc-Minh; Doan, Quyet Nguyen; Thi, Huong Le; Thu, Trang Nguyen Thi; Cho, Ming-Yuan; Da, Thao Nguyen; Thanh, Phuong Nguyen

doi:10.1109/icsse61472.2024.10608911

2024 International Conference on System Science and Engineering (ICSSE) 2024

DOI: 10.1109/icsse61472.2024.10608911

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A Failure Diagnosis Approach for Firefighting Pump Based Deep Learning GRU Methodology

Wen-Bin Liu,

Thuc-Minh Bui,

Quyet Nguyen Doan

et al.

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Deep Learning–Based Fault Identification Testing Experiment for Bellows Valves

Guo,

Cai,

Chen

et al. 2024

Science and Technology of Nuclear Installations

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This study focuses on the fault identification of the pneumatic bellows valve. This valve plays an essential role in regulating system pressure to ensure the smooth progress of the tritium removal process. To conduct research on the health status of the pneumatic bellows valve and to timely identify potential faults and anomalies, we developed a dedicated experimental platform and assessed the performance of various deep learning models, including recurrent neural networks (RNNs), single‐layer long short–term memory networks (LSTMs), double‐layer LSTM, multilayer LSTM, single‐layer gated recurrent unit (GRU), and bidirectional GRU, in valve fault identification. The experimental outcomes reveal that the RNN and bidirectional GRU models exhibit superior performance in terms of accuracy and model fit, particularly in scenarios involving normal valve operations, valve leakage faults, and valve head contact faults. These findings offer new perspectives and methodologies for the detection and prevention of valve faults, contributing to the operational stability and safety of bellows valves.

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Deep Learning–Based Fault Identification Testing Experiment for Bellows Valves

Guo,

Cai,

Chen

et al. 2024

Science and Technology of Nuclear Installations

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show abstract

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A Failure Diagnosis Approach for Firefighting Pump Based Deep Learning GRU Methodology

Cited by 1 publication

References 31 publications

Deep Learning–Based Fault Identification Testing Experiment for Bellows Valves

Deep Learning–Based Fault Identification Testing Experiment for Bellows Valves

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