{"title":"Research on Mechanical State Evaluation Method of Transformer Winding Based on vibro-acoustic Signal Fusion under Short-Circuit Impact","authors":"Lu Bai, Yumei Shi, Yingbin Li, Yukun Zhang, Lingyu Zhu, Shuyu Wu","doi":"10.1109/CEECT55960.2022.10030366","DOIUrl":null,"url":null,"abstract":"A mechanical state evaluation method of transformer winding based on vibro-acoustic signal fusion under short circuit condition is presented in this paper. The special analog transformer A phase winding is studied. Transformer internal vibro-acoustic mechanism is analyzed, then the three transient vibro-acoustic characteristic is defined and extracted. The short circuit impact test platform of transformer winding is established and 22 short circuit impact tests are carried out. The transient vibro-acoustic signal of transformer and the state of winding after short circuit impact are analyzed. The results show that the damage of transformer winding under short-circuit impact is a process of accumulation, and transient vibro-acoustic signal can reflect the mechanical state of transformer winding sensitively. Finally, the SVM algorithm is used to classify the transient vibro-acoustic characteristic, which can effectively distinguish and accurately identify the different mechanical states of transformer winding. The evaluation method is innovative to evaluate the mechanical state of transformer winding.","PeriodicalId":187017,"journal":{"name":"2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEECT55960.2022.10030366","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A mechanical state evaluation method of transformer winding based on vibro-acoustic signal fusion under short circuit condition is presented in this paper. The special analog transformer A phase winding is studied. Transformer internal vibro-acoustic mechanism is analyzed, then the three transient vibro-acoustic characteristic is defined and extracted. The short circuit impact test platform of transformer winding is established and 22 short circuit impact tests are carried out. The transient vibro-acoustic signal of transformer and the state of winding after short circuit impact are analyzed. The results show that the damage of transformer winding under short-circuit impact is a process of accumulation, and transient vibro-acoustic signal can reflect the mechanical state of transformer winding sensitively. Finally, the SVM algorithm is used to classify the transient vibro-acoustic characteristic, which can effectively distinguish and accurately identify the different mechanical states of transformer winding. The evaluation method is innovative to evaluate the mechanical state of transformer winding.