{"title":"Application of Time Frequency Characteristics of Gas Spectrogram for State Diagnosis of Bushing","authors":"Dandan Han, L. Zhang, Ying Zheng","doi":"10.1109/CEEPE55110.2022.9783255","DOIUrl":null,"url":null,"abstract":"To effectively diagnose the defects of oil impregnated paper insulation bushing by using the result of dissolved gas analysis, the gas spectrum is constructed by using the relative content of dissolved gases in oil. The equivalent time length Teq and equivalent frequency band width Feq are extracted as the characteristic parameters of gas spectrum, and are used to cluster and separate the gas spectrum of different defects. Based on that, the time-frequency eigenvalue boundary for identifying different bushing defects is constructed, and the bushing state diagnosis method based on the time-frequency characteristics of spectrum is proposed according to the distribution results of the Teq - Feq graph. Finally, the diagnosis effect of time-frequency spectrum method and Duval triangle method is compared and analyzed, and the effectiveness of spectrum time-frequency feature in bushing defect diagnosis is verified by disassembly visual inspection. The results show that the time-frequency characteristics of spectrum can effectively diagnose the state of bushing, and its diagnostic accuracy is due to Duval triangle method, and it can make up for the defects of Duval triangle method in misjudging or difficult to judge the normal state of bushing, which can be used as an important basis for the state diagnosis of oil impregnated paper insulated bushing.","PeriodicalId":118143,"journal":{"name":"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEEPE55110.2022.9783255","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
To effectively diagnose the defects of oil impregnated paper insulation bushing by using the result of dissolved gas analysis, the gas spectrum is constructed by using the relative content of dissolved gases in oil. The equivalent time length Teq and equivalent frequency band width Feq are extracted as the characteristic parameters of gas spectrum, and are used to cluster and separate the gas spectrum of different defects. Based on that, the time-frequency eigenvalue boundary for identifying different bushing defects is constructed, and the bushing state diagnosis method based on the time-frequency characteristics of spectrum is proposed according to the distribution results of the Teq - Feq graph. Finally, the diagnosis effect of time-frequency spectrum method and Duval triangle method is compared and analyzed, and the effectiveness of spectrum time-frequency feature in bushing defect diagnosis is verified by disassembly visual inspection. The results show that the time-frequency characteristics of spectrum can effectively diagnose the state of bushing, and its diagnostic accuracy is due to Duval triangle method, and it can make up for the defects of Duval triangle method in misjudging or difficult to judge the normal state of bushing, which can be used as an important basis for the state diagnosis of oil impregnated paper insulated bushing.