Weibull Distribution and Geometrical Size Factor for Evaluating the Thermal Life of Electrical Machines' Insulation

Vincenzo Madonna, Paolo Giangrande, Michael Galea

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

Abstract

The thermal lifetime assessment of electrical machines' insulation systems is generally performed at the design and prototyping stages. Hence, the insulation system's thermal endurance curve (or temperature index) can be extrapolated, allowing the machine designer to tune lifetime prediction models and / or qualify a market-ready prototype, according to technical standards. The whole thermal evaluation process usually relies on accelerated thermal aging tests carried out on appropriate specimens, and an extensive economical effort could be needed. In this paper, a methodology relying on the Weibull statistical distribution and the geometrical size factor (i.e. statistical enlargement law) is analyzed for evaluating the machine's thermal life by using simple twisted pair as specimen. The obtained results are also experimentally validated against data collected on a different specimen's layout, namely random wound coils, confirming the feasibility of the analyzed approach.

Original languageEnglish
Title of host publicationProceedings - IECON 2020
Subtitle of host publication46th Annual Conference of the IEEE Industrial Electronics Society
PublisherIEEE Computer Society
Pages1114-1119
Number of pages6
ISBN (Electronic)9781728154145
DOIs
Publication statusPublished - 18 Oct 2020
Event46th Annual Conference of the IEEE Industrial Electronics Society, IECON 2020 - Virtual, Singapore, Singapore
Duration: 19 Oct 202021 Oct 2020

Publication series

NameIECON Proceedings (Industrial Electronics Conference)
Volume2020-October

Conference

Conference46th Annual Conference of the IEEE Industrial Electronics Society, IECON 2020
Country/TerritorySingapore
CityVirtual, Singapore
Period19/10/2021/10/20

Keywords

  • Accelerated Thermal Aging
  • Design of Experiments
  • Design of Insulation
  • Electrical Machines
  • Physics of Failure
  • Reliability

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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