电力变压器故障模式关联的多因子框架建模

R. Rampersad, S. Bahadoorsingh, C. Sharma
{"title":"电力变压器故障模式关联的多因子框架建模","authors":"R. Rampersad, S. Bahadoorsingh, C. Sharma","doi":"10.1109/EIC.2018.8481099","DOIUrl":null,"url":null,"abstract":"Power Transformers are among the most critical assets in a power system, with significant costs as well as long lead times for acquisition. Their failure compromises the power system security. Total protection from electrical, mechanical, chemical and environmental stresses are near impossible leaving them vulnerable to failure via multiple mechanisms. Many researchers have analyzed the various failure mechanisms and have attempted to link specific mechanisms to the physical manifestations responsible for the ultimate failure of the transformer. This paper provides a library of failure frameworks in the various components of the transformer (core, windings, bushings, tank, cooling fins) and their link to the transformer dielectric materials (oil and cellulose). This paper will integrate published studies into a series of structured frameworks. Each framework provides a platform on which to develop improved models of plant reliability, identifying direct linkages between the transformer failure mechanisms and failure modes. With the identification of these linkages, reliability engineers can better understand how transformers fail and the measurands present at the time of failure, thus allowing for implementation of predictive/preventive maintenance regimes that shall be effective in identifying potential failure modes.","PeriodicalId":184139,"journal":{"name":"2018 IEEE Electrical Insulation Conference (EIC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Multifactorial Frameworks Modelling Linkages of Power Transformer Failure Modes\",\"authors\":\"R. Rampersad, S. Bahadoorsingh, C. Sharma\",\"doi\":\"10.1109/EIC.2018.8481099\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Power Transformers are among the most critical assets in a power system, with significant costs as well as long lead times for acquisition. Their failure compromises the power system security. Total protection from electrical, mechanical, chemical and environmental stresses are near impossible leaving them vulnerable to failure via multiple mechanisms. Many researchers have analyzed the various failure mechanisms and have attempted to link specific mechanisms to the physical manifestations responsible for the ultimate failure of the transformer. This paper provides a library of failure frameworks in the various components of the transformer (core, windings, bushings, tank, cooling fins) and their link to the transformer dielectric materials (oil and cellulose). This paper will integrate published studies into a series of structured frameworks. Each framework provides a platform on which to develop improved models of plant reliability, identifying direct linkages between the transformer failure mechanisms and failure modes. With the identification of these linkages, reliability engineers can better understand how transformers fail and the measurands present at the time of failure, thus allowing for implementation of predictive/preventive maintenance regimes that shall be effective in identifying potential failure modes.\",\"PeriodicalId\":184139,\"journal\":{\"name\":\"2018 IEEE Electrical Insulation Conference (EIC)\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE Electrical Insulation Conference (EIC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EIC.2018.8481099\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Electrical Insulation Conference (EIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EIC.2018.8481099","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

电力变压器是电力系统中最关键的资产之一,成本高,采购周期长。它们的故障将危及电力系统的安全。对电气、机械、化学和环境压力的全面保护几乎是不可能的,这使得它们很容易通过多种机制发生故障。许多研究人员分析了各种失效机制,并试图将具体机制与导致变压器最终失效的物理表现联系起来。本文提供了变压器各部件(铁芯、绕组、套管、油箱、散热片)及其与变压器介电材料(油和纤维素)的连接中的故障框架库。本文将把已发表的研究整合到一系列结构化框架中。每个框架都提供了一个平台,在这个平台上开发改进的工厂可靠性模型,确定变压器故障机制和故障模式之间的直接联系。通过识别这些联系,可靠性工程师可以更好地了解变压器是如何失效的,以及在失效时存在的措施,从而允许实施预测/预防性维护制度,这将有效地识别潜在的故障模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multifactorial Frameworks Modelling Linkages of Power Transformer Failure Modes
Power Transformers are among the most critical assets in a power system, with significant costs as well as long lead times for acquisition. Their failure compromises the power system security. Total protection from electrical, mechanical, chemical and environmental stresses are near impossible leaving them vulnerable to failure via multiple mechanisms. Many researchers have analyzed the various failure mechanisms and have attempted to link specific mechanisms to the physical manifestations responsible for the ultimate failure of the transformer. This paper provides a library of failure frameworks in the various components of the transformer (core, windings, bushings, tank, cooling fins) and their link to the transformer dielectric materials (oil and cellulose). This paper will integrate published studies into a series of structured frameworks. Each framework provides a platform on which to develop improved models of plant reliability, identifying direct linkages between the transformer failure mechanisms and failure modes. With the identification of these linkages, reliability engineers can better understand how transformers fail and the measurands present at the time of failure, thus allowing for implementation of predictive/preventive maintenance regimes that shall be effective in identifying potential failure modes.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信