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Early Detection And Diagnosis Of Power Transformer Internal Faults

Posted on:2012-01-03Degree:MasterType:Thesis
Country:ChinaCandidate:G W LiaoFull Text:PDF
GTID:2132330332983968Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
Power transformer is the power system, one of the most important electrical equipment, their operation directly affects the level of security of the system. Early detection of potential transformer failure, transformer to ensure the safe operation of the power sector is an important issue of concern. Therefore, the study transformer fault diagnosis technology to improve the level of transformer operation and maintenance, safe operation of power system has important practical significance.Transformer oil dissolved gas analysis transformer internal fault is an important means of diagnosis, it is an indirect understanding of the internal transformer provides an important basis for general risks, proven transformer oil dissolved gas analysis technology to discover the potential of the internal transformer faults and its development trend very effective. Transformer internal fault at this stage to judge the main basis for improved three-ratio method is that there can not judge whether the fault defects. We collected a large number of instances of failure, and failure cases of DGA data was sorted and normalized the raw data processing, the processed data using two-dimensional Logistic regression to obtain the corresponding two-dimensional Logistic regression curve equation fault, in order to address some of the transformer internal fault can not be classified defects, provided for the transformer internal fault to judge another idea.
Keywords/Search Tags:dissolved gas, Transformer, Diagnosis, Logistic regression curve
PDF Full Text Request
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