Intercurrent Fault Diagnosis of Nuclear Power Plants Based on Hybrid Artificial Neural Network

PENG Qiao; GUO Lifeng; MA Jie

Mar. 2025

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PENG Qiao, GUO Lifeng, MA Jie. Intercurrent Fault Diagnosis of Nuclear Power Plants Based on Hybrid Artificial Neural Network[J]. Nuclear Power Engineering, 2012, 33(6): 30-34.

Citation:

PENG Qiao, GUO Lifeng, MA Jie. Intercurrent Fault Diagnosis of Nuclear Power Plants Based on Hybrid Artificial Neural Network[J]. Nuclear Power Engineering, 2012, 33(6): 30-34.

PENG Qiao, GUO Lifeng, MA Jie. Intercurrent Fault Diagnosis of Nuclear Power Plants Based on Hybrid Artificial Neural Network[J]. Nuclear Power Engineering, 2012, 33(6): 30-34.

Citation:

PENG Qiao, GUO Lifeng, MA Jie. Intercurrent Fault Diagnosis of Nuclear Power Plants Based on Hybrid Artificial Neural Network[J]. Nuclear Power Engineering, 2012, 33(6): 30-34.

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Intercurrent Fault Diagnosis of Nuclear Power Plants Based on Hybrid Artificial Neural Network

College of Naval Architecture and Power, Naval University of Engineering, Wuhan, 430033, China

Received Date: 2011-08-18
Rev Recd Date: 2012-02-10

Available Online: 2025-03-08

Abstract

Abstract

Based on the analysis of the structure of ART-2 and parallel BP neural network,a hybrid artificial neural network is proposed aiming at the intercurrent faults diagnosis of nuclear power plants.Firstly the ART-2 net is used to identify the single fault,then the parallel BP net is used to distinguish intercurrent faults from new fault.The simulation shows that,the hybrid artificial neural network resolves the problem of single neural network in distinguishing intercurrent faults from new fault,and can diagnose the intercurrent fault and new fault efficiently.
- Nuclear power plant,
- Intercurrent fault,
- Hybrid artificial neural network