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Lifetime estimation of enameled wires under accelerated thermal aging using curve fitting methods

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journal contribution
posted on 29.03.2021, 10:46 authored by Muhammad Raza Khowja, Gulrukh Turabee, Paolo Giangrande, Vincenzo Madonna, Georgina CosmaGeorgina Cosma, Gaurang Vakil, Chris Gerada, Michael Galea
© 2013 IEEE. Estimating the lifetime of enameled wires using the conventional/standard test method requires a significant amount of time that can endure up to thousands of testing hours, which could considerably delay the time-To-market of a new product. This paper presents a new approach that estimates the insulation lifetime of enameled wire, employed in electrical machines, using curve fitting models whose computation is rapid and accurate. Three curve fit models are adopted to predict the insulation resistance of double-coated enameled magnet wire samples, with respect to their aging time. The samples' mean time-To-failure is estimated, and performance of the models is apprised through a comparison against the conventional 'standard method' of lifetime estimation of the enameled wires. The best prediction accuracy is achieved by a logarithmic curve fit approach, which gives an error of 0.95% and 1.62% when its thermal index is compared with the conventional method and manufacturer claim respectively. The proposed approach provides a time-saving of 67% (83 days) when its computation time is compared with respect to the 'standard method' of lifetime estimation.

Funding

Clean Sky 2 Joint Undertaking through the European Union’s Horizon 2020 Research and Innovation Program under Grant 807081 and Grant 821023

History

School

  • Science

Department

  • Computer Science

Published in

IEEE Access

Volume

9

Pages

18993 - 19003

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Version

VoR (Version of Record)

Rights holder

© The authors

Publisher statement

This is an Open Access Article. It is published by IEEE under the Creative Commons Attribution 4.0 Unported Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/

Acceptance date

12/01/2021

Publication date

2021-01-18

Copyright date

2021

ISSN

2169-3536

eISSN

2169-3536

Language

en

Depositor

Dr Georgina Cosma. Deposit date: 24 March 2021