Lifetime estimation of enameled wires under accelerated thermal aging using curve fitting methods
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 insu...
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| Format: | Article |
| Language: | English |
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Institute of Electrical and Electronics Engineers Inc.
2021
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| Online Access: | https://eprints.nottingham.ac.uk/65180/ |
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| author | Khowja, Muhammad Raza Turabee, Gulrukh Giangrande, Paolo Madonna, Vincenzo Cosma, Georgina Vakil, Gaurang Gerada, Chris Galea, Michael |
| author_facet | Khowja, Muhammad Raza Turabee, Gulrukh Giangrande, Paolo Madonna, Vincenzo Cosma, Georgina Vakil, Gaurang Gerada, Chris Galea, Michael |
| author_sort | Khowja, Muhammad Raza |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T20:47:42Z |
| format | Article |
| id | nottingham-65180 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T20:47:42Z |
| publishDate | 2021 |
| publisher | Institute of Electrical and Electronics Engineers Inc. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-651802021-05-07T09:03:46Z https://eprints.nottingham.ac.uk/65180/ Lifetime estimation of enameled wires under accelerated thermal aging using curve fitting methods Khowja, Muhammad Raza Turabee, Gulrukh Giangrande, Paolo Madonna, Vincenzo Cosma, Georgina Vakil, Gaurang Gerada, Chris Galea, Michael 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. Institute of Electrical and Electronics Engineers Inc. 2021-01-18 Article PeerReviewed application/pdf en cc_by https://eprints.nottingham.ac.uk/65180/1/Khowja-2021-Lifetime-estimation-of-enameled-wir.pdf Khowja, Muhammad Raza, Turabee, Gulrukh, Giangrande, Paolo, Madonna, Vincenzo, Cosma, Georgina, Vakil, Gaurang, Gerada, Chris and Galea, Michael (2021) Lifetime estimation of enameled wires under accelerated thermal aging using curve fitting methods. IEEE Access, 9 . pp. 18993-19003. ISSN 2169-3536 Neural network; curve fitting; insulation lifetime; thermal aging; accelerated aging test; insulation resistance and dissipation factor http://dx.doi.org/10.1109/ACCESS.2021.3052058 doi:10.1109/ACCESS.2021.3052058 doi:10.1109/ACCESS.2021.3052058 |
| spellingShingle | Neural network; curve fitting; insulation lifetime; thermal aging; accelerated aging test; insulation resistance and dissipation factor Khowja, Muhammad Raza Turabee, Gulrukh Giangrande, Paolo Madonna, Vincenzo Cosma, Georgina Vakil, Gaurang Gerada, Chris Galea, Michael Lifetime estimation of enameled wires under accelerated thermal aging using curve fitting methods |
| title | Lifetime estimation of enameled wires under accelerated thermal aging using curve fitting methods |
| title_full | Lifetime estimation of enameled wires under accelerated thermal aging using curve fitting methods |
| title_fullStr | Lifetime estimation of enameled wires under accelerated thermal aging using curve fitting methods |
| title_full_unstemmed | Lifetime estimation of enameled wires under accelerated thermal aging using curve fitting methods |
| title_short | Lifetime estimation of enameled wires under accelerated thermal aging using curve fitting methods |
| title_sort | lifetime estimation of enameled wires under accelerated thermal aging using curve fitting methods |
| topic | Neural network; curve fitting; insulation lifetime; thermal aging; accelerated aging test; insulation resistance and dissipation factor |
| url | https://eprints.nottingham.ac.uk/65180/ https://eprints.nottingham.ac.uk/65180/ https://eprints.nottingham.ac.uk/65180/ |