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Fuzzy inference system for risk classification on polluted insulator strings of high voltage transmission lines
Authors: Sérgio Campello Oliveira; Hilton Oliveira de Lima; Eduardo Fontana;
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. This paper presents the initial analysis of one year long experiments. A fuzzy inference system was applied on the results to extract a risk level. The risk level was incremented and decremented according to the partial discharge activity and relative humidity levels. The risk level obtained in this can be used to better plan the schedules for preventive maintenance.
Related Organizations
- Universidade de Pernambuco Brazil
- Federal University of Pernambuco Brazil
- Universidade Federal de Pernambuco Brazil
- Universidade de Pernambuco Brazil
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

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citations
Citations provided by BIP!
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).
popularity
Popularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
6
Average
Top 10%
Average