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Electrical Engineering

Fuzzy expert system for metal-oxide surge arrester condition monitoring

  • 21-07-2020
  • Original Paper
Published in:
Authors
Goran Dobrić
Mileta Žarković
Published in
Electrical Engineering | Issue 1/2021

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Abstract

Metal-oxide surge arresters (MOSAs) play an important role in preventing outage situations and thus in preserving the reliability of electric power system. So far, many MOSA monitoring methods have been developed. These methods propose different indicators that are more or less reliable in MOSA monitoring and diagnostics. Another important aspect of these indicators is that each one of them can be determined with a certain estimation error. None of the indicators has been proved to be supreme. Nevertheless, under different conditions, the reliability of these indicators may vary. This paper presents an analysis methodology for reliability of MOSA indicators and proposes a fuzzy logic expert system that overcomes the problem of decision-making in the case when more than one indicator is available. The analysis and verification are done by computer simulations.

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previous article Design and optimization of the three-phase rail-type magnetic coupling structure for the electric vehicle wireless power transfer system
next article Electrical–thermal modeling of a double-canned induction motor for electrical performance analysis and motor lifetime determination
Title
Fuzzy expert system for metal-oxide surge arrester condition monitoring
Authors
Goran Dobrić
Mileta Žarković
Publication date
21-07-2020
Publisher
Springer Berlin Heidelberg
Published in
Electrical Engineering / Issue 1/2021
Print ISSN: 0948-7921
Electronic ISSN: 1432-0487
DOI
https://doi.org/10.1007/s00202-020-01061-z
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