Towards winding deformation assessment from vibration signals using an optical sensor

IF 1.4 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Najmeh Seifaddini, Bekibenan Sekongo, Issouf Fofana, Simplice Akre, Abdellah Chehri, Mohand Ouhrouche
{"title":"Towards winding deformation assessment from vibration signals using an optical sensor","authors":"Najmeh Seifaddini,&nbsp;Bekibenan Sekongo,&nbsp;Issouf Fofana,&nbsp;Simplice Akre,&nbsp;Abdellah Chehri,&nbsp;Mohand Ouhrouche","doi":"10.1049/smt2.12224","DOIUrl":null,"url":null,"abstract":"<p>In the era of Industry 4.0, there is a growing emphasis on the digitization of electrical networks. Over recent decades, the integration of interconnected digital technologies, including sensors and communication systems, within electrical substations has emerged as a significant driver. Consequently, there is an increasing need for precise online monitoring of critical assets such as power transformers to enhance grid reliability. This study utilizes an optical-based Fiber Bragg Grating (FBG) sensor to capture vibration signals from a custom-designed single-phase transformer model, specifically developed for experimental purposes. This model offers a unique advantage with its ability to interchangeably simulate healthy and distorted winding sections without causing damage. Using a high current source, the laboratory model was subjected to three different current levels across six distinct configurations to monitor winding displacements. The results from this investigation highlight the FBG sensor's capability to accurately distinguish between healthy and distorted winding sections. Furthermore, this feasibility study represents a significant step forward in the online mechanical assessment of transformer windings, moving away from traditional methods that require transformers to be taken out of service for inspection. This innovative approach shows considerable potential for implementing effective real-time monitoring of winding deformation in power transformers.</p>","PeriodicalId":54999,"journal":{"name":"Iet Science Measurement & Technology","volume":"19 1","pages":"1-9"},"PeriodicalIF":1.4000,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/smt2.12224","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Iet Science Measurement & Technology","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1049/smt2.12224","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

Abstract

In the era of Industry 4.0, there is a growing emphasis on the digitization of electrical networks. Over recent decades, the integration of interconnected digital technologies, including sensors and communication systems, within electrical substations has emerged as a significant driver. Consequently, there is an increasing need for precise online monitoring of critical assets such as power transformers to enhance grid reliability. This study utilizes an optical-based Fiber Bragg Grating (FBG) sensor to capture vibration signals from a custom-designed single-phase transformer model, specifically developed for experimental purposes. This model offers a unique advantage with its ability to interchangeably simulate healthy and distorted winding sections without causing damage. Using a high current source, the laboratory model was subjected to three different current levels across six distinct configurations to monitor winding displacements. The results from this investigation highlight the FBG sensor's capability to accurately distinguish between healthy and distorted winding sections. Furthermore, this feasibility study represents a significant step forward in the online mechanical assessment of transformer windings, moving away from traditional methods that require transformers to be taken out of service for inspection. This innovative approach shows considerable potential for implementing effective real-time monitoring of winding deformation in power transformers.

Abstract Image

利用光学传感器对振动信号进行绕组变形评估
在工业 4.0 时代,人们越来越重视电气网络的数字化。近几十年来,变电站内互联数字技术(包括传感器和通信系统)的集成已成为一个重要驱动因素。因此,越来越需要对电力变压器等关键资产进行精确的在线监测,以提高电网的可靠性。本研究利用基于光学的光纤布拉格光栅 (FBG) 传感器捕捉定制设计的单相变压器模型的振动信号,该模型专为实验目的而开发。该模型具有独特的优势,能够在不造成损坏的情况下互换模拟健康和扭曲的绕组部分。利用大电流源,实验室模型在六种不同配置下承受了三种不同的电流水平,以监测绕组位移。调查结果表明,FBG 传感器能够准确区分健康和扭曲的绕组部分。此外,这项可行性研究标志着变压器绕组在线机械评估向前迈出了重要一步,摆脱了需要将变压器停运进行检查的传统方法。这种创新方法显示了对电力变压器绕组变形进行有效实时监测的巨大潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Iet Science Measurement & Technology
Iet Science Measurement & Technology 工程技术-工程:电子与电气
CiteScore
4.30
自引率
7.10%
发文量
41
审稿时长
7.5 months
期刊介绍: IET Science, Measurement & Technology publishes papers in science, engineering and technology underpinning electronic and electrical engineering, nanotechnology and medical instrumentation.The emphasis of the journal is on theory, simulation methodologies and measurement techniques. The major themes of the journal are: - electromagnetism including electromagnetic theory, computational electromagnetics and EMC - properties and applications of dielectric, magnetic, magneto-optic, piezoelectric materials down to the nanometre scale - measurement and instrumentation including sensors, actuators, medical instrumentation, fundamentals of measurement including measurement standards, uncertainty, dissemination and calibration Applications are welcome for illustrative purposes but the novelty and originality should focus on the proposed new methods.
×
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