电力变压器状态评估的健康指数:三种不同技术的比较。

Q3 Engineering
Diego Armando Zaldivar, A. Romero
{"title":"电力变压器状态评估的健康指数:三种不同技术的比较。","authors":"Diego Armando Zaldivar, A. Romero","doi":"10.22201/icat.24486736e.2022.20.5.1606","DOIUrl":null,"url":null,"abstract":"In practice, the condition state of Power Transformers (PT) is quantified by using Health Index (HI). This paperanalyzes and compares three different state-of-the-art algorithms to compute HI. The first one uses a Weighted SumModel (WSM), the second is based on a Fuzzy Inference System (FIS), and the third combines both techniques, i.e.,WSM and FIS. These three approaches are tested in a PT fleet composed of 30 units. Results show that eachapproach produces different HI values for the same PTs. Therefore, decision making regarding the PT fleet willdepend on the selected approach for HI calculation. This work proposes merging the knowledge involved in eachanalyzed approach by using a K-means clustering technique to overcome this drawback. This solution could help theasset manager to make adequate decisions regarding the maintenance scheduling of PT when there is uncertaintyabout the appropriate approach to be selected.","PeriodicalId":15073,"journal":{"name":"Journal of Applied Research and Technology","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Health Index for Power Transformer Condition Assessment: A Comparison of Three Different Techniques.\",\"authors\":\"Diego Armando Zaldivar, A. Romero\",\"doi\":\"10.22201/icat.24486736e.2022.20.5.1606\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In practice, the condition state of Power Transformers (PT) is quantified by using Health Index (HI). This paperanalyzes and compares three different state-of-the-art algorithms to compute HI. The first one uses a Weighted SumModel (WSM), the second is based on a Fuzzy Inference System (FIS), and the third combines both techniques, i.e.,WSM and FIS. These three approaches are tested in a PT fleet composed of 30 units. Results show that eachapproach produces different HI values for the same PTs. Therefore, decision making regarding the PT fleet willdepend on the selected approach for HI calculation. This work proposes merging the knowledge involved in eachanalyzed approach by using a K-means clustering technique to overcome this drawback. This solution could help theasset manager to make adequate decisions regarding the maintenance scheduling of PT when there is uncertaintyabout the appropriate approach to be selected.\",\"PeriodicalId\":15073,\"journal\":{\"name\":\"Journal of Applied Research and Technology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Applied Research and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.22201/icat.24486736e.2022.20.5.1606\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Applied Research and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22201/icat.24486736e.2022.20.5.1606","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 1

摘要

在实践中,电力变压器(PT)的状态是通过健康指数(HI)来量化的。本文分析并比较了三种不同的计算HI的最新算法。第一种方法使用加权SumModel(WSM),第二种方法基于模糊推理系统(FIS),第三种方法结合了这两种技术,即WSM和FIS。这三种方法在由30个单元组成的PT车队中进行了测试。结果表明,对于相同的PT,每种方法都会产生不同的HI值。因此,PT车队的决策将取决于HI计算的选定方法。这项工作提出通过使用K-means聚类技术来合并每种分析方法中涉及的知识,以克服这一缺点。当不确定要选择的适当方法时,该解决方案可以帮助资产经理就PT的维护计划做出适当的决定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Health Index for Power Transformer Condition Assessment: A Comparison of Three Different Techniques.
In practice, the condition state of Power Transformers (PT) is quantified by using Health Index (HI). This paperanalyzes and compares three different state-of-the-art algorithms to compute HI. The first one uses a Weighted SumModel (WSM), the second is based on a Fuzzy Inference System (FIS), and the third combines both techniques, i.e.,WSM and FIS. These three approaches are tested in a PT fleet composed of 30 units. Results show that eachapproach produces different HI values for the same PTs. Therefore, decision making regarding the PT fleet willdepend on the selected approach for HI calculation. This work proposes merging the knowledge involved in eachanalyzed approach by using a K-means clustering technique to overcome this drawback. This solution could help theasset manager to make adequate decisions regarding the maintenance scheduling of PT when there is uncertaintyabout the appropriate approach to be selected.
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
Journal of Applied Research and Technology
Journal of Applied Research and Technology 工程技术-工程:电子与电气
CiteScore
1.50
自引率
0.00%
发文量
0
审稿时长
6-12 weeks
期刊介绍: The Journal of Applied Research and Technology (JART) is a bimonthly open access journal that publishes papers on innovative applications, development of new technologies and efficient solutions in engineering, computing and scientific research. JART publishes manuscripts describing original research, with significant results based on experimental, theoretical and numerical work. The journal does not charge for submission, processing, publication of manuscripts or for color reproduction of photographs. JART classifies research into the following main fields: -Material Science: Biomaterials, carbon, ceramics, composite, metals, polymers, thin films, functional materials and semiconductors. -Computer Science: Computer graphics and visualization, programming, human-computer interaction, neural networks, image processing and software engineering. -Industrial Engineering: Operations research, systems engineering, management science, complex systems and cybernetics applications and information technologies -Electronic Engineering: Solid-state physics, radio engineering, telecommunications, control systems, signal processing, power electronics, electronic devices and circuits and automation. -Instrumentation engineering and science: Measurement devices (pressure, temperature, flow, voltage, frequency etc.), precision engineering, medical devices, instrumentation for education (devices and software), sensor technology, mechatronics and robotics.
×
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