Rachida Chaouche, H. Houassine, S. Moulahoum, S. Bensaid, M. -. Chaouche
{"title":"变压器绕组径向位移严重程度评定","authors":"Rachida Chaouche, H. Houassine, S. Moulahoum, S. Bensaid, M. -. Chaouche","doi":"10.1109/ICAEE53772.2022.9962120","DOIUrl":null,"url":null,"abstract":"The transformer windings deteriorations have led researchers to devote considerable efforts to propose new approaches to diagnose the transformer damages. Among these abnormalities as known: short-circuit, radial and axial displacements. The task of detecting and locating these damages is so too arduous that they cannot be easily contained. Thus, the process of searching for effective ways to detect with high accuracy of any change occurs in the winding regardless of its degree (large or small), and its location is the goal of researchers. Recently, frequency response analysis (FRA) has emerged as one of the best tools in digital signal processing (DSP) and has been increasingly expanded in frequency domain, the increased demand for DSP for its significance and its positive results in the analysis of electrical phenomena. So, this paper aims to establish a correlation between the radial displacements of the winding and its parameters changes (the resonant frequencies of FRA response and the equivalent inductance), a new approach has been illustrated through the use of signal analysis processing in detecting radial displacement in order to propose a tool allowing locating and assessing the extent of failures between disks of the windings. The proposed approach has been experimentally validated on an isolated winding.","PeriodicalId":206584,"journal":{"name":"2022 2nd International Conference on Advanced Electrical Engineering (ICAEE)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Severity Assessment Of Radial Displacement Of Transformer Winding\",\"authors\":\"Rachida Chaouche, H. Houassine, S. Moulahoum, S. Bensaid, M. -. Chaouche\",\"doi\":\"10.1109/ICAEE53772.2022.9962120\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The transformer windings deteriorations have led researchers to devote considerable efforts to propose new approaches to diagnose the transformer damages. Among these abnormalities as known: short-circuit, radial and axial displacements. The task of detecting and locating these damages is so too arduous that they cannot be easily contained. Thus, the process of searching for effective ways to detect with high accuracy of any change occurs in the winding regardless of its degree (large or small), and its location is the goal of researchers. Recently, frequency response analysis (FRA) has emerged as one of the best tools in digital signal processing (DSP) and has been increasingly expanded in frequency domain, the increased demand for DSP for its significance and its positive results in the analysis of electrical phenomena. So, this paper aims to establish a correlation between the radial displacements of the winding and its parameters changes (the resonant frequencies of FRA response and the equivalent inductance), a new approach has been illustrated through the use of signal analysis processing in detecting radial displacement in order to propose a tool allowing locating and assessing the extent of failures between disks of the windings. The proposed approach has been experimentally validated on an isolated winding.\",\"PeriodicalId\":206584,\"journal\":{\"name\":\"2022 2nd International Conference on Advanced Electrical Engineering (ICAEE)\",\"volume\":\"62 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 2nd International Conference on Advanced Electrical Engineering (ICAEE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAEE53772.2022.9962120\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 2nd International Conference on Advanced Electrical Engineering (ICAEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAEE53772.2022.9962120","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Severity Assessment Of Radial Displacement Of Transformer Winding
The transformer windings deteriorations have led researchers to devote considerable efforts to propose new approaches to diagnose the transformer damages. Among these abnormalities as known: short-circuit, radial and axial displacements. The task of detecting and locating these damages is so too arduous that they cannot be easily contained. Thus, the process of searching for effective ways to detect with high accuracy of any change occurs in the winding regardless of its degree (large or small), and its location is the goal of researchers. Recently, frequency response analysis (FRA) has emerged as one of the best tools in digital signal processing (DSP) and has been increasingly expanded in frequency domain, the increased demand for DSP for its significance and its positive results in the analysis of electrical phenomena. So, this paper aims to establish a correlation between the radial displacements of the winding and its parameters changes (the resonant frequencies of FRA response and the equivalent inductance), a new approach has been illustrated through the use of signal analysis processing in detecting radial displacement in order to propose a tool allowing locating and assessing the extent of failures between disks of the windings. The proposed approach has been experimentally validated on an isolated winding.