Transformer Failure Rate Model Based on DDgPCE Method and Oil Chromatography Datadd
As one of the important components in the power system, establishing its accurate failure rate model is a prerequisite for improving the operation and maintenance efficiency of the power system. Firstly, based on the dissolved gas data of transformer oil, the threshold of state division is fuzzy...
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| Format: | Article |
| Language: | zho |
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Harbin University of Science and Technology Publications
2023-12-01
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| Series: | Journal of Harbin University of Science and Technology |
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| Online Access: | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2279 |
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| author | CHEN Li juan WU Jian jun WANG Gang DAI Zi kuo LIU Zhen dong TAN Yu hua ZHOU Yul ong |
| author_facet | CHEN Li juan WU Jian jun WANG Gang DAI Zi kuo LIU Zhen dong TAN Yu hua ZHOU Yul ong |
| author_sort | CHEN Li juan |
| collection | DOAJ |
| description |
As one of the important components in the power system, establishing its accurate failure rate model is a prerequisite for improving the operation and maintenance efficiency of the power system. Firstly, based on the dissolved gas data of transformer oil, the threshold of state division is fuzzy by introducing ridge membership function. Secondly, considering the difference of gas types generated during the decomposition of insulating materials under different conditions, the correlation between gas production rates is analyzed , and the weight of each gas state quantity is allocated by the improved entropy weight method. Thirdly, considering the health status and service life of transformer, the distribution model of transformer failure rate is established by data-driven generalized polynomial chaos method. Finally, through the example analysis and calculation, the failure rate model established in this paper has a high precision and has a certain value of engineering application. |
| format | Article |
| id | doaj-art-d29f6563897e4aabacc7447cbfa2a700 |
| institution | Kabale University |
| issn | 1007-2683 |
| language | zho |
| publishDate | 2023-12-01 |
| publisher | Harbin University of Science and Technology Publications |
| record_format | Article |
| series | Journal of Harbin University of Science and Technology |
| spelling | doaj-art-d29f6563897e4aabacc7447cbfa2a7002025-08-20T03:27:58ZzhoHarbin University of Science and Technology PublicationsJournal of Harbin University of Science and Technology1007-26832023-12-012806768610.15938/j.jhust.2023.06.009Transformer Failure Rate Model Based on DDgPCE Method and Oil Chromatography DataddCHEN Li juan0WU Jian jun1WANG Gang2DAI Zi kuo3LIU Zhen dong4TAN Yu hua5ZHOU Yul ong6StateGridBenxiPowerSupplyCompany,Benxi117020,ChinaStateGridLiaoningElectricPowerCompanyLimited,Shenyang110000,ChinaStateGridLiaoningElectricPowerCompanyLimited,Shenyang110000,ChinaStateGridLiaoningElectricPowerCompanyLimited,Shenyang110000,ChinaStateGridBenxiPowerSupplyCompany,Benxi117020,ChinaSchoolofMechanicalEngineering,UniversityofShanghaiforScienceandTechnology,Shanghai200093,ChinaSchoolofElectricPowerEngineering,ShanghaiUniversityofElectricPower,Shanghai200090,China As one of the important components in the power system, establishing its accurate failure rate model is a prerequisite for improving the operation and maintenance efficiency of the power system. Firstly, based on the dissolved gas data of transformer oil, the threshold of state division is fuzzy by introducing ridge membership function. Secondly, considering the difference of gas types generated during the decomposition of insulating materials under different conditions, the correlation between gas production rates is analyzed , and the weight of each gas state quantity is allocated by the improved entropy weight method. Thirdly, considering the health status and service life of transformer, the distribution model of transformer failure rate is established by data-driven generalized polynomial chaos method. Finally, through the example analysis and calculation, the failure rate model established in this paper has a high precision and has a certain value of engineering application.https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2279dissolvedgasstatusevaluationtransformerpolynomialchaosfailureratemodel |
| spellingShingle | CHEN Li juan WU Jian jun WANG Gang DAI Zi kuo LIU Zhen dong TAN Yu hua ZHOU Yul ong Transformer Failure Rate Model Based on DDgPCE Method and Oil Chromatography Datadd Journal of Harbin University of Science and Technology dissolvedgas statusevaluation transformer polynomialchaos failureratemodel |
| title | Transformer Failure Rate Model Based on DDgPCE Method and Oil Chromatography Datadd |
| title_full | Transformer Failure Rate Model Based on DDgPCE Method and Oil Chromatography Datadd |
| title_fullStr | Transformer Failure Rate Model Based on DDgPCE Method and Oil Chromatography Datadd |
| title_full_unstemmed | Transformer Failure Rate Model Based on DDgPCE Method and Oil Chromatography Datadd |
| title_short | Transformer Failure Rate Model Based on DDgPCE Method and Oil Chromatography Datadd |
| title_sort | transformer failure rate model based on ddgpce method and oil chromatography datadd |
| topic | dissolvedgas statusevaluation transformer polynomialchaos failureratemodel |
| url | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2279 |
| work_keys_str_mv | AT chenlijuan transformerfailureratemodelbasedonddgpcemethodandoilchromatographydatadd AT wujianjun transformerfailureratemodelbasedonddgpcemethodandoilchromatographydatadd AT wanggang transformerfailureratemodelbasedonddgpcemethodandoilchromatographydatadd AT daizikuo transformerfailureratemodelbasedonddgpcemethodandoilchromatographydatadd AT liuzhendong transformerfailureratemodelbasedonddgpcemethodandoilchromatographydatadd AT tanyuhua transformerfailureratemodelbasedonddgpcemethodandoilchromatographydatadd AT zhouyulong transformerfailureratemodelbasedonddgpcemethodandoilchromatographydatadd |