Registro fonte: Classification of events in distribution networks using autonomous neural models

Classification of events in distribution networks using autonomous neural models

This paper presents a method for automatic classification of faults and events related to quality of service in electricity distribution networks. The method consists in preprocessing event oscillographies using the wavelet transform and then classifying them using autonomous neural models. In the p...

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Principais autores:	Lazzaretti, Andre Eugênio, Ferreira, Vitor Hugo, Vieira Neto, Hugo, Riella, Rodrigo Jardim, Omori, Julio Shigeaki
Formato:	Trabalho Apresentado em Evento
Idioma:	Inglês
Publicado em:	Curitiba 2013
Assuntos:	Energia elétrica - Distribuição Redes neurais (Computação) Wavelets (Matemática) Electric power distribution Neural networks (Computer science) Wavelets (Mathematics)
Acesso em linha:	http://repositorio.utfpr.edu.br/jspui/handle/1/658 http://dx.doi.org/10.1109/ISAP.2009.5352812
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id	riut-1-658
recordtype	dspace
spelling	riut-1-6582015-03-07T06:12:15Z Classification of events in distribution networks using autonomous neural models Lazzaretti, Andre Eugênio Ferreira, Vitor Hugo Vieira Neto, Hugo Riella, Rodrigo Jardim Omori, Julio Shigeaki Energia elétrica - Distribuição Redes neurais (Computação) Wavelets (Matemática) Electric power distribution Neural networks (Computer science) Wavelets (Mathematics) This paper presents a method for automatic classification of faults and events related to quality of service in electricity distribution networks. The method consists in preprocessing event oscillographies using the wavelet transform and then classifying them using autonomous neural models. In the preprocessing stage, the energy present in each sub-band of the wavelet domain is computed in order to compose input feature vectors for the classification stage. The classifiers investigated are based in Multi-Layer Perceptron (MLP) feed-forward artificial neural networks and Support Vector Machines (SVM), which automatically promote input selection and structure complexity control simultaneously. Experiments using simulated data show promising results for the proposed application. 5000 2013-11-21T22:51:41Z 2009-11 conferenceObject LAZZARETTI, André Eugênio et al. Classification of events in distribution networks using autonomous neural models. In: INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEM APPLICATIONS TO POWER SYSTEMS, 15., 2009, Curitiba. Anais eletrônicos… Curitiba, 2009. Disponível em: <http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5352812>. Acesso em: 16 jul. 2013. 978-1-4244-5097-8 http://repositorio.utfpr.edu.br/jspui/handle/1/658 http://dx.doi.org/10.1109/ISAP.2009.5352812 eng International Conference on Intelligent System Applications to Power Systems http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5352812&tag=1 application/pdf Curitiba
institution	Universidade Tecnológica Federal do Paraná
collection	RIUT
language	Inglês
topic	Energia elétrica - Distribuição Redes neurais (Computação) Wavelets (Matemática) Electric power distribution Neural networks (Computer science) Wavelets (Mathematics)
spellingShingle	Energia elétrica - Distribuição Redes neurais (Computação) Wavelets (Matemática) Electric power distribution Neural networks (Computer science) Wavelets (Mathematics) Lazzaretti, Andre Eugênio Ferreira, Vitor Hugo Vieira Neto, Hugo Riella, Rodrigo Jardim Omori, Julio Shigeaki Classification of events in distribution networks using autonomous neural models
description	This paper presents a method for automatic classification of faults and events related to quality of service in electricity distribution networks. The method consists in preprocessing event oscillographies using the wavelet transform and then classifying them using autonomous neural models. In the preprocessing stage, the energy present in each sub-band of the wavelet domain is computed in order to compose input feature vectors for the classification stage. The classifiers investigated are based in Multi-Layer Perceptron (MLP) feed-forward artificial neural networks and Support Vector Machines (SVM), which automatically promote input selection and structure complexity control simultaneously. Experiments using simulated data show promising results for the proposed application.
format	Trabalho Apresentado em Evento
author	Lazzaretti, Andre Eugênio Ferreira, Vitor Hugo Vieira Neto, Hugo Riella, Rodrigo Jardim Omori, Julio Shigeaki
author_sort	Lazzaretti, Andre Eugênio
title	Classification of events in distribution networks using autonomous neural models
title_short	Classification of events in distribution networks using autonomous neural models
title_full	Classification of events in distribution networks using autonomous neural models
title_fullStr	Classification of events in distribution networks using autonomous neural models
title_full_unstemmed	Classification of events in distribution networks using autonomous neural models
title_sort	classification of events in distribution networks using autonomous neural models
publisher	Curitiba
publishDate	2013
citation	LAZZARETTI, André Eugênio et al. Classification of events in distribution networks using autonomous neural models. In: INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEM APPLICATIONS TO POWER SYSTEMS, 15., 2009, Curitiba. Anais eletrônicos… Curitiba, 2009. Disponível em: <http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5352812>. Acesso em: 16 jul. 2013. 978-1-4244-5097-8
url	http://repositorio.utfpr.edu.br/jspui/handle/1/658 http://dx.doi.org/10.1109/ISAP.2009.5352812
_version_	1805313125931548672
score	10,814766

Classification of events in distribution networks using autonomous neural models

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