{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T22:48:05Z","timestamp":1776811685183,"version":"3.51.2"},"reference-count":14,"publisher":"European Society of Computational Methods in Sciences and Engineering","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JCM"],"published-print":{"date-parts":[[2023,5,30]]},"abstract":"<jats:p>During the transformer winding deformation process, the leakage magnetic field around the winding will change accordingly. Therefore, it is an effective method to monitor and track the change of the leakage magnetic field and then analyze and judge the state of the transformer. This paper firstly uses Comsol Multiphysics software to establish a 110 kV transformer electromagnetic simulation calculation model. Based on the simulation results of magnetic leakage distribution, an installation plan for the internal magnetic leakage sensor of a 110 kV true transformer is determined. The measurement results of the true single short-circuit test under different working conditions verify the accuracy of the simulation model. Subsequently, a number of B-phase high-centered three-phase short circuit (H-M B) true type tests were carried out, and the relationship between the magnetic leakage distribution characteristics and the impedance change rate after each impact was analyzed. The results show that before the transformer is seriously deformed due to multiple short circuit shocks, the sensitivity of the impedance change rate to the winding deformation is low, and the first five shocks only increase from 0.11% to 0.39%. However, the difference ratio between the simulation value and the test value of magnetic flux leakage (MFL) has obvious changes in each small deformation. BX3 increases from 1.77% to 5.62%, and BX4 increases from 2.08% to 6.55%. The difference ratio of four shocks before winding deformation is more than 6%. Therefore, by monitoring the flux leakage magnetic induction intensity, when the difference ratio is greater than 6%, strengthen the vigilance, which can provide a certain basis for winding monitoring before serious deformation.<\/jats:p>","DOI":"10.3233\/jcm-226656","type":"journal-article","created":{"date-parts":[[2023,1,17]],"date-time":"2023-01-17T11:43:44Z","timestamp":1673955824000},"page":"1517-1528","source":"Crossref","is-referenced-by-count":3,"title":["Transformer winding deformation accompanied by magnetic flux leakage field distribution variation and its diagnostic analysis of deformation degree"],"prefix":"10.66113","volume":"23","author":[{"given":"Hongliang","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuguo","family":"Gao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lu","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuan","family":"Tian","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"55691","reference":[{"issue":"02","key":"10.3233\/JCM-226656_ref1","doi-asserted-by":"publisher","first-page":"336","DOI":"10.13800\/j.cnki.xakjdxxb.2020.0220","article-title":"Deformation simulation and simulation of transformer winding accumulation","volume":"40","author":"Wu","year":"2020","journal-title":"Journal of Xi\u2019An University of Science and Technology."},{"issue":"2","key":"10.3233\/JCM-226656_ref2","doi-asserted-by":"crossref","first-page":"592","DOI":"10.1007\/s13198-016-0475-6","article-title":"Differential relay reliability enhancement using fourth harmonic for a large power transformer","volume":"8","author":"Bouderbala","year":"2017","journal-title":"International Journal of Systems Assurance Engineering and Management."},{"key":"10.3233\/JCM-226656_ref3","doi-asserted-by":"publisher","DOI":"10.13336\/j.1003-6520.hve.20170303040"},{"issue":"10","key":"10.3233\/JCM-226656_ref5","doi-asserted-by":"publisher","first-page":"3214","DOI":"10.13336\/j.1003-6520.hve.2014.10.038","article-title":"Analysis of short-circuit resistance of large power transformer based on finite element method","volume":"40","author":"Zhao","year":"2014","journal-title":"High Voltage Technology."},{"issue":"07","key":"10.3233\/JCM-226656_ref7","first-page":"49","article-title":"Application of leakage inductance calculation of transformer based on finite element method in winding deformation","author":"Li","year":"2007","journal-title":"Electric Power Automation Equipment."},{"issue":"04","key":"10.3233\/JCM-226656_ref9","doi-asserted-by":"publisher","first-page":"1207","DOI":"10.13336\/j.1003-6520.hve.20160405016","article-title":"Status and development of power transformer winding deformation detection and diagnosis technology","volume":"42","author":"Sun","year":"2016","journal-title":"High Voltage Technology."},{"key":"10.3233\/JCM-226656_ref10","doi-asserted-by":"publisher","DOI":"10.13334\/j.0258-8013.pcsee.2014.28.023"},{"key":"10.3233\/JCM-226656_ref11","doi-asserted-by":"publisher","DOI":"10.13334\/j.0258-8013.pcsee.2015.17.027"},{"key":"10.3233\/JCM-226656_ref12","doi-asserted-by":"publisher","DOI":"10.14177\/j.cnki.32-1397n.2020.44.01.003"},{"issue":"07","key":"10.3233\/JCM-226656_ref13","doi-asserted-by":"publisher","first-page":"10","DOI":"10.13296\/j.1001-1609.hva.2019.07.002","article-title":"Application of complex frequency response value in fault diagnosis of power transformer","volume":"55","author":"Liu","year":"2019","journal-title":"High Voltage Apparatus."},{"issue":"05","key":"10.3233\/JCM-226656_ref14","doi-asserted-by":"publisher","first-page":"79","DOI":"10.19406\/j.cnki.cqkjxyxbzkb.2017.05.019","article-title":"Online monitoring system of transformer winding deformation based on impedance method","volume":"19","author":"Liang","year":"2017","journal-title":"Journal of Chongqing University of Science and Technology (Natural Science Edition)."},{"issue":"11","key":"10.3233\/JCM-226656_ref15","first-page":"173","article-title":"Classification method of winding deformation based on optimal magnetic flux leakage information of transformer","volume":"36","author":"Chen","year":"2018","journal-title":"Hydropower energy science."},{"issue":"04","key":"10.3233\/JCM-226656_ref16","doi-asserted-by":"publisher","first-page":"1207","DOI":"10.13336\/j.1003-6520.hve.20160405016","article-title":"Status and development of power transformer winding deformation detection and diagnosis technology","volume":"42","author":"Sun","year":"2016","journal-title":"High Voltage Technology."},{"key":"10.3233\/JCM-226656_ref17","doi-asserted-by":"publisher","DOI":"10.13334\/j.0258-8013.pcsee.2015.22.012"}],"container-title":["Journal of Computational Methods in Sciences and Engineering"],"original-title":[],"link":[{"URL":"https:\/\/content.iospress.com\/download?id=10.3233\/JCM-226656","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T22:06:54Z","timestamp":1776809214000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/full\/10.3233\/JCM-226656"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,30]]},"references-count":14,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.3233\/jcm-226656","relation":{},"ISSN":["1472-7978","1875-8983"],"issn-type":[{"value":"1472-7978","type":"print"},{"value":"1875-8983","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,5,30]]}}}