Diagnosis of Nuclear Power Plant Based on Probabilistic Neural Network

Chun Ling Xie

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

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 513-517Diagnosis of Nuclear Power Plant Based on...

Diagnosis of Nuclear Power Plant Based on Probabilistic Neural Network

Abstract:

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.

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Periodical:

Applied Mechanics and Materials (Volumes 513-517)

Pages:

3992-3995

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.513-517.3992

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Online since:

February 2014

Authors:

Chun Ling Xie*

Keywords:

Fault Diagnosis, Nuclear Power Plant (NPP), Probabilistic Neural Network

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