Fault diagnosis and classification based on wavelet transform and neural network

Author:

Hadad Kamal,Pourahmadi Meisam,Majidi-Maraghi Hosein

Publisher

Elsevier BV

Subject

Waste Management and Disposal,Energy Engineering and Power Technology,Safety, Risk, Reliability and Quality,Nuclear Energy and Engineering

Reference15 articles.

1. Introduction to Wavelets and Wavelets Transforms;Burrus,1997

2. Recurrent neuro-fuzzy system for fault detection and isolation in nuclear reactors;Evsukoff;Advanced Engineering Informatics Archive,2005

3. A pattern recognition-artificial neural networks based model for signal validation in nuclear power plants;Fantoni;Annals of Nuclear Energy,1996

4. Gross, K.C., Singer, R.M., Wegerich, S.W., Herzog, J.P., Application of a model-based fault detection system to nuclear plant signals. In: Proceedings of the 9th International Conference on Intelligent Systems Applications to Power Systems, 6–10 July 1997, Seoul, Korea.

5. Enhanced neural network based fault detection of a VVER nuclear power plant with the aid of principal component analysis;Hadad;IEEE Trans Nuclear Science,2008

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