Diagnosis of Nuclear Power Plant Based on Probabilistic Neural Network

被引：1

作者：

Xie, Chun-ling ^{[1
]}

机构：

[1] Yantai Univ, Sch Ocean, Yantai 264000, Shandong, Peoples R China

来源：

APPLIED SCIENCE, MATERIALS SCIENCE AND INFORMATION TECHNOLOGIES IN INDUSTRY | 2014年 / 513-517卷

关键词：

Nuclear power plant; Fault diagnosis; Probabilistic neural network;

D O I：

10.4028/www.scientific.net/AMM.513-517.3992

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

This paper presents development of an automatic fault diagnosis system in the nuclear power plants to minimize possible nuclear disasters. Probabilistic Neural Network (PNN) overcame the shortcomings of entrapment in local optimum, slow convergence rate which was in BP algorithm. PNN is fit to diagnose the fault of nuclear power plant and has auto-adaptability. The method not only makes the original neural network smaller in terms of computation and realization, but also improves diagnosis speed and accuracy of nuclear power plant.

引用

页码：3992 / 3995

页数：4

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