Development and Evaluation of Hybrid Fault Diagnosis System for Nuclear Power Plant

ZHANG Jian-de; YANG Ming

Dec. 2007

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ZHANG Jian-de, YANG Ming. Development and Evaluation of Hybrid Fault Diagnosis System for Nuclear Power Plant[J]. Nuclear Power Engineering, 2007, 28(6): 92-96.

Citation:

ZHANG Jian-de, YANG Ming. Development and Evaluation of Hybrid Fault Diagnosis System for Nuclear Power Plant[J]. Nuclear Power Engineering, 2007, 28(6): 92-96.

ZHANG Jian-de, YANG Ming. Development and Evaluation of Hybrid Fault Diagnosis System for Nuclear Power Plant[J]. Nuclear Power Engineering, 2007, 28(6): 92-96.

Citation:

ZHANG Jian-de, YANG Ming. Development and Evaluation of Hybrid Fault Diagnosis System for Nuclear Power Plant[J]. Nuclear Power Engineering, 2007, 28(6): 92-96.

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Development and Evaluation of Hybrid Fault Diagnosis System for Nuclear Power Plant

College of Nuclear Science and Technology, Harbin Engineering University, 150001, China

Received Date: 2007-08-20
Rev Recd Date: 2007-09-05

Available Online: 2025-07-23

Abstract

Abstract

A hybrid approach based on rule-based method and Artificial Neural Network （ANN） is proposed for on-line fault diagnosis of nuclear power plant. Rule-based method is used for identifying accident type and ANN is used for accurately estimating some information that is difficult to be diagnosed by rule-based method, such as accident location and severity level. Validity of the proposed method was verified by a simulation experiment in normal operation condition.
- Nuclear power plant,
- Fault diagnosis,
- Rule,
- Artificial neural network