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  • 标题:ANN EXPERT SYSTEM FOR DIAGNOSING FAULTS AND ASSESSING THE QUALITY INSULATION OIL OF POWER TRANSFORMER DEPENDING ON THE DGA METHOD
  • 本地全文:下载
  • 作者:AHMED RAISAN HUSSEIN ; M. M. YAACOB ; M.F. OTHMAN
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2015
  • 卷号:78
  • 期号:2
  • 出版社:Journal of Theoretical and Applied
  • 摘要:Dissolved gas analysis is a common method for diagnosing faults in electrical transformers and determining the type of faults early on, depending on the specific standards used. Applying dissolved gas analysis methods can be used in diagnosis and in the evaluation process. There are many methods used in the diagnosis of faults in power transformers, including traditional and intelligent .The use of an intelligent expert system relies on dissolved gas analysis using artificial neural networks, and it gives excellent results in diagnosing faults and assessing the quality of insulating oil during service and the application of appropriate treatment.
  • 关键词:ANN Expert System; Fault Diagnosis; Insulation Oil; Dissolved Gas Analysis; Power Transformer
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