Comparison of the Performance of Artificial Neural Networks and Fuzzy Logic for Recognizing Different Partial Discharge Sources-Reference-Cited by-同舟云学术

Comparison of the Performance of Artificial Neural Networks and Fuzzy Logic for Recognizing Different Partial Discharge Sources

Published:2017-07-21 Issue:7 Volume:10 Page:1060
ISSN:1996-1073
Container-title:Energies
language:en
Short-container-title:Energies

Author:

Mas’ud Abdullahi Abubakar,Ardila-Rey Jorge Alfredo,Albarracín Ricardo^ORCID,Muhammad-Sukki Firdaus,Bani Nurul Aini

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous)

Link

http://www.mdpi.com/1996-1073/10/7/1060/pdf

Reference43 articles.

1. High Voltage Engineering Fundamentals;Kuffel,2000

2. Partial Discharge Detection in High Voltage Equipment;Kreuger,1989

3. Toward Automatic Classification of Partial Discharge Sources With Neural Networks

4. Electrical Power Equipment Maintenance and Testing;Gill,2008

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