NDLI: Flashover risk prediction on polluted insulators strings of high voltage transmission lines

Content Provider	IEEE Xplore Digital Library
Author	de Lima, H.O. Oliveira, S.C. Fontana, E.
Copyright Year	2011
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.)
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.
Starting Page	397
Ending Page	401
File Size	1131353
Page Count	5
File Format	PDF
ISBN	9781457716768
ISSN	21647151
e-ISBN	9781457716768
DOI	10.1109/ISDA.2011.6121688
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-22
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Partial discharges Optical fiber sensors Partial Discharges Satellites Poles and towers Sensor Networks Flashover Neural Networks Insulators Sensor systems
Content Type	Text
Resource Type	Article

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