Found an issue? Give us feedback

https://doi.org/10.1...arrow_drop_down

https://doi.org/10.1109/icsens...

Conference object . 2010 . Peer-reviewed

Data sources: Crossref

http://ieeexplore.ieee.org/doc...

Article

Data sources: Microsoft Academic Graph

Select content type to embed

All Research products

arrow_drop_down

<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>

COPY SCRIPT

For further information contact us at helpdesk@openaire.eu

Remote monitoring of the degree of pollution of high voltage insulator strings via satellite with a sensor system network

descriptionPublicationkeyboard_double_arrow_right Conference object , Article 01 Nov 2010Publisher:IEEEJournal:2010 IEEE Sensors

Authors: R. A. de Lima; Joaquim F. Martins-Filho; R. B. C. Lima; Eduardo Fontana; T. L. Prata; Gustavo Oliveira Cavalcanti; F. J. M. M. Cavalcanti; +1 Authors

doi: 10.1109/icsens.2010.5690717

Remote monitoring of the degree of pollution of high voltage insulator strings via satellite with a sensor system network

- Summary
- Metrics

Abstract

A sensor system network was developed and installed in the northeast of Brazil to monitor the degree of pollution of insulator strings of high voltage transmission lines. Monitoring systems, comprising leakage, humidity and temperature sensors, a processing electronic module and a satellite communication link were installed on 230 and 500 kV towers. Measured parameters, sent via satellite to the communication service provider are downloaded to a local server managed by a web-based GUI application. The degree of pollution in the insulator string can be inferred from the time rate of discharge pulses appearing in the leakage current signal and its correlation with local humidity and/or temperature. Preliminary real time field results measured in the network are analyzed.

Related Organizations

Universidade de Pernambuco
Brazil
Federal University of Pernambuco
Brazil
Universidade Federal de Pernambuco
Brazil
Universidade de Pernambuco
Brazil

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	6
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average