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Wavelet Neural Network based fault detection method in power system

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4 Author(s)
Yang Xiaohua ; Shandong Province Key Laboratory of horticultural Machineries and Equipments, College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai'an, China ; Zhang Yadong ; Zhao Faqi ; Xi Zhongmei

Wavelet Neural Network combined the advantages of wavelet transform and neural network, It is a knowledge-based fault diagnosis method It doesn't need accurate mathematical model, both have good time-frequency localization properties and better self-learning ability and fault tolerance. This article describes the natural network in power system fault detection, the simulation results show that, compared with the traditional artificial neural network, the wavelet neural network has the characteristics of fast convergence. So wavelet neural network can be applied to power system fault detection.

Published in:

Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on

Date of Conference:

15-17 July 2011