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Reliability assessment of transformer insulating oil using accelerated life testing
To improve the reliability and reduce the maintenance cost of transformer oil, a life prediction of transformer oil is needed so that the maintenance of transformer can be performed correctly. However, it is difficult to predict the reliable lifetime of transformer oil accurately because of its unki...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9755135/ https://www.ncbi.nlm.nih.gov/pubmed/36522459 http://dx.doi.org/10.1038/s41598-022-26247-2 |
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author | Wei, Xingchun Wang, Zhiming Guo, Junfeng |
author_facet | Wei, Xingchun Wang, Zhiming Guo, Junfeng |
author_sort | Wei, Xingchun |
collection | PubMed |
description | To improve the reliability and reduce the maintenance cost of transformer oil, a life prediction of transformer oil is needed so that the maintenance of transformer can be performed correctly. However, it is difficult to predict the reliable lifetime of transformer oil accurately because of its unkind operating condition at different environments. To solve this problem, based on the theory of accelerated life testing (ALT), a reliability assessment method for transformer insulating oil on a normal operational conditions is proposed. An inverse power Weibull distribution model for insulating oil lifetime with voltage is built. Numerical procedure of model parameter estimation is presented, the variances of model parameters and reliability indices, which including mean lifetime, reliability, reliable lifetime at given reliability and failure rate, are derived. The feasibility and correctness of the proposed method are validated by real lifetime data of transformer insulating oil in literature. The reliability of transformer insulating oil used at normal usage conditions are predicted by the proposed method, and the point and interval estimations of reliability indices are evaluated. The results show that reliable lifetime and mean lifetime under reliability limit should be considered simultaneously in repair or replacement of transformer insulating oil. |
format | Online Article Text |
id | pubmed-9755135 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-97551352022-12-17 Reliability assessment of transformer insulating oil using accelerated life testing Wei, Xingchun Wang, Zhiming Guo, Junfeng Sci Rep Article To improve the reliability and reduce the maintenance cost of transformer oil, a life prediction of transformer oil is needed so that the maintenance of transformer can be performed correctly. However, it is difficult to predict the reliable lifetime of transformer oil accurately because of its unkind operating condition at different environments. To solve this problem, based on the theory of accelerated life testing (ALT), a reliability assessment method for transformer insulating oil on a normal operational conditions is proposed. An inverse power Weibull distribution model for insulating oil lifetime with voltage is built. Numerical procedure of model parameter estimation is presented, the variances of model parameters and reliability indices, which including mean lifetime, reliability, reliable lifetime at given reliability and failure rate, are derived. The feasibility and correctness of the proposed method are validated by real lifetime data of transformer insulating oil in literature. The reliability of transformer insulating oil used at normal usage conditions are predicted by the proposed method, and the point and interval estimations of reliability indices are evaluated. The results show that reliable lifetime and mean lifetime under reliability limit should be considered simultaneously in repair or replacement of transformer insulating oil. Nature Publishing Group UK 2022-12-15 /pmc/articles/PMC9755135/ /pubmed/36522459 http://dx.doi.org/10.1038/s41598-022-26247-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Wei, Xingchun Wang, Zhiming Guo, Junfeng Reliability assessment of transformer insulating oil using accelerated life testing |
title | Reliability assessment of transformer insulating oil using accelerated life testing |
title_full | Reliability assessment of transformer insulating oil using accelerated life testing |
title_fullStr | Reliability assessment of transformer insulating oil using accelerated life testing |
title_full_unstemmed | Reliability assessment of transformer insulating oil using accelerated life testing |
title_short | Reliability assessment of transformer insulating oil using accelerated life testing |
title_sort | reliability assessment of transformer insulating oil using accelerated life testing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9755135/ https://www.ncbi.nlm.nih.gov/pubmed/36522459 http://dx.doi.org/10.1038/s41598-022-26247-2 |
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