Spectral Methods for Monitoring Transformer Equipment State of Paper Insulation

Author:

Kozlov V.K., ,Kurakina O.E.,Sabitov A.H.,Nigmatullina G. F.,Salyakhutdinov R. A., , , ,

Abstract

The insulation of an oil-filled transformer is based on materials of organic origin - oil and wood pulp. The state of insulation is a key factor in the reliable operation of a power equipment, and much attention is paid to the insulation state assessment by researchers. To assess the cellulose insulation state, indicators such as the degree of polymerization and paper moisture are determined. The existing methods for determining the moisture content and the degree of polymerization of a paper insulation have disadvantages, as they require a complex process of sampling the insulation, which is a time-consuming operation. The purpose of the work is to develop new methods for determining the moisture content and the degree of polymerization of the paper insulation of a power transformer. This goal is achieved by obtaining the reflection spectra of the paper insulation samples and constructing two correlation lines to determine the degree of polymerization and humidity. The most significant result of the article is the establishment of the dependence of the reflection coefficient of the paper on the concentration of water exceeding 4% and the position of the minimum in the reflection spectrum of paper insulation on the degree of polymerization. The significance of the obtained results lies in the fact that the optical method for determining the moisture content and the degree of polymerization of paper insulation using the constructed correlation lines is highly accurate and does not require the use of additional reagents and complex calculations.

Publisher

Institute of Power Engineering

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Fuel Technology,Renewable Energy, Sustainability and the Environment

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Robotic Complex for Assessing the Condition of Electrical Equipment of Substations;2024 International Russian Smart Industry Conference (SmartIndustryCon);2024-03-25

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3