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Author de Lima, H.O. ♦ Oliveira, S.C. ♦ Fontana, E.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2011
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Partial discharges ♦ Optical fiber sensors ♦ Partial Discharges ♦ Satellites ♦ Poles and towers ♦ Sensor Networks ♦ Flashover ♦ Neural Networks ♦ Insulators ♦ Sensor systems
Abstract Partial discharges on high voltage insulator surfaces are directly related with the deposition of pollution over the insulators. A complete partial discharge sensor network was previously developed and has been in operation for approximately one year. A fuzzy inference system was applied on the results to extract a risk level. In this paper the risk level signal was applied as a neural network input to predict the flashover risk ten days ahead. Two sensors installed on transmission towers submitted to match environments provide the data sets used as training and test. The risk predicted follows the behavior of the observed risk and could be used to better plan the schedules for preventive maintenance.
Description Author affiliation: Polytechnic School of Pernambuco, University of Pernambuco, Recife, Brazil (de Lima, H.O.; Oliveira, S.C.) || Department of Electronic and Systems, Federal University of Pernambuco, Recife, Brazil (Fontana, E.)
ISBN 9781457716768
ISSN 21647151
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2011-11-22
Publisher Place Spain
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
e-ISBN 9781457716768
Size (in Bytes) 1.08 MB
Page Count 5
Starting Page 397
Ending Page 401


Source: IEEE Xplore Digital Library