• DocumentCode
    1361131
  • Title

    Model-aided diagnosis-a new method for online condition assessment of high voltage circuit breakers

  • Author

    Stanek, Michael ; Fröhlich, Klaus

  • Author_Institution
    High Voltage Lab., Swiss Federal Inst. of Technol., Zurich, Switzerland
  • Volume
    15
  • Issue
    2
  • fYear
    2000
  • fDate
    4/1/2000 12:00:00 AM
  • Firstpage
    585
  • Lastpage
    591
  • Abstract
    In recent years, online condition assessment of high voltage equipment is increasingly asked for by power utilities, however, most systems on the market today are merely monitoring solutions with hardly any diagnostic capabilities. This report reviews the basic principles for condition diagnosis from the field of artificial intelligence and introduces a novel strategy, named model-aided diagnosis (MAiD). It was initially developed for condition assessment of high voltage circuit breakers but is also suitable for other technical devices. Theoretical considerations as well as practical results show that MAiD is a useful strategy for condition assessment. In addition, with its low hardware requirements, it allows online condition diagnosis of high voltage circuit breakers locally by a low-cost monitoring device
  • Keywords
    circuit breakers; computerised monitoring; condition monitoring; switchgear testing; MAiD; artificial intelligence; condition assessment; condition diagnosis; high-voltage circuit breakers; model-aided diagnosis; online condition assessment; power utilities; Artificial intelligence; Circuit breakers; Circuit faults; Condition monitoring; Fault diagnosis; Hardware; Manufacturing; Power system modeling; Substations; Voltage;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/61.852989
  • Filename
    852989