• DocumentCode
    2670896
  • Title

    On-line Transformer Condition Monitoring through Diagnostics and Anomaly Detection

  • Author

    Catterson, V.M. ; Rudd, S.E. ; McArthur, S.D.J. ; Moss, G.

  • Author_Institution
    Inst. for Energy & Environ., Univ. of Strathclyde, Glasgow, UK
  • fYear
    2009
  • fDate
    8-12 Nov. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper describes the end-to-end components of an on-line system for diagnostics and anomaly detection. The system provides condition monitoring capabilities for two in service transmission transformers in the UK. These transformers are nearing the end of their design life, and it is hoped that intensive monitoring will enable them to stay in service for longer. The paper discusses the requirements on a system for interpreting data from the sensors installed on site, as well as describing the operation of specific diagnostic and anomaly detection techniques employed. The system is deployed on a substation computer, collecting and interpreting site data on-line.
  • Keywords
    computerised monitoring; condition monitoring; data acquisition; power engineering computing; power system measurement; power transformers; software agents; substations; anomaly detection; on-line transformer condition monitoring; service transmission transformer; substation computer; Computerized monitoring; Condition monitoring; Dissolved gas analysis; Fault diagnosis; Machine learning; Multiagent systems; Partial discharges; Sensor phenomena and characterization; Sensor systems; Substations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent System Applications to Power Systems, 2009. ISAP '09. 15th International Conference on
  • Conference_Location
    Curitiba
  • Print_ISBN
    978-1-4244-5097-8
  • Type

    conf

  • DOI
    10.1109/ISAP.2009.5352860
  • Filename
    5352860