A System Based on Artificial Neural Networks for Automatic Classification of Hydro-generator Stator Windings Partial Discharges

Abstract Partial discharge (PD) monitoring is widely used in rotating machines to evaluate the condition of stator winding insulation, but its practice on a large scale requires the development of intelligent systems that automatically process these measurement data. In this paper, it is proposed a...

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Bibliographic Details

Published in:	Journal of Microwaves, Optoelectronics and Electromagnetic Applications Vol. 16; no. 3; pp. 628 - 645
Main Authors:	Oliveira, Rodrigo M. S. de, Araújo, Ramon C. F., Barros, Fabrício J. B., Segundo, Adriano Paranhos, Zampolo, Ronaldo F., Fonseca, Wellington, Dmitriev, Victor, Brasil, Fernando S.
Format:	Journal Article
Language:	English
Published:	Sociedade Brasileira de Microondas e Optoeletrônica e Sociedade Brasileira de Eletromagnetismo 01-09-2017 Sociedade Brasileira de Microondas e Optoeletrônica; Sociedade Brasileira de Eletromagnetismo
Subjects:	Artificial Intelligence Condition Monitoring ENGINEERING, ELECTRICAL & ELECTRONIC Hydrogenerator Neural Networks OPTICS Partial Discharge Neural Networks Partial Discharge Condition Monitoring Artificial Intelligence Hydrogenerator
Online Access:	Get full text
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