• DocumentCode
    570277
  • Title

    Condition assessment of substation equipment based on intelligence information fusion

  • Author

    Feng, Qingdong ; Liang, YongLiang

  • fYear
    2012
  • fDate
    21-24 May 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Study on method of condition assessment of substation equipment is the key subject in condition maintenance. This article introduced the application of artificial intelligence methods in the substation equipment condition assessment and different artificial intelligence methods, such as artificial neural network (ANN), fuzzy theory and expert system, are introduced respectively, and their advantages and disadvantages are analysed in detail; in accordance with feature of multi-sensor information in online monitoring, the application of information fusion in condition assessment gained an important introduction; The assessment method based on intelligence information fusion is recommended to solve the deficiency of single assessment method.
  • Keywords
    artificial intelligence; condition monitoring; expert systems; fuzzy set theory; maintenance engineering; neural nets; power engineering computing; sensor fusion; substations; artificial intelligence; artificial neural network; condition assessment; condition maintenance; expert system; fuzzy theory; intelligence information fusion; multisensor information; online monitoring; substation equipment; Data mining; Fault diagnosis; Feature extraction; Lead; Maintenance engineering; Monitoring; Oil insulation; artificial intelligence; artificial neural network; condition assessment; expert system; fuzzy theory; information fusion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Smart Grid Technologies - Asia (ISGT Asia), 2012 IEEE
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4673-1221-9
  • Type

    conf

  • DOI
    10.1109/ISGT-Asia.2012.6303093
  • Filename
    6303093