Life Modelling of Metal-Oxide Surge Arresters: A Comparison of Computational Techniques for Analysing Failure Data

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

This study investigates the accuracy of two computational techniques in modelling metal-oxide varistor surge arrester failure data. The maximum likelihood estimation technique is compared with the recommended method for analysing electrical insulation breakdown data-i.e. a modified rank method with regression. Failure data used for the study are obtained experimentally through conducting accelerated degradation tests of metal-oxide varistor samples, with and without continuously applied distorted voltage stress. The failure probability distributions of the device, under these different stress conditions, are modelled using each of the computational techniques. Results indicate that while the recommended method does provide a reasonably adequate estimate of these distributions, the resulting mean square error is significantly larger than that obtained when using the maximum likelihood technique.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538651858
DOIs
Publication statusPublished - 16 Oct 2018
Event2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2018 - Palermo, Italy
Duration: 12 Jun 201815 Jun 2018

Publication series

NameProceedings - 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2018

Conference

Conference2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2018
Country/TerritoryItaly
CityPalermo
Period12/06/1815/06/18

Keywords

  • Metal-oxide surge arrester
  • distorted voltage stress
  • failure data
  • maximum likelihood

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering
  • Environmental Engineering
  • Hardware and Architecture

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