• DocumentCode
    3219433
  • Title

    The use of intelligent systems techniques in condition monitoring of electrical plant

  • Author

    Moyes, A. ; McDonald, J.R.

  • Author_Institution
    Centre for Electr. Power Eng., Strathclyde Univ., Glasgow, UK
  • fYear
    1997
  • fDate
    35600
  • Firstpage
    42401
  • Lastpage
    42404
  • Abstract
    Engineers who make critical operational and strategic plant management decisions require high quality information. Intelligent systems provide engineers with information by applying knowledge of plant behaviour to plant data. Therefore, intelligent systems significantly extend and add value to the capabilities provided by existing condition monitoring systems while supporting enhanced plant management strategies. A range of intelligent systems techniques have been described which have been successfully applied to a range of condition monitoring problems. Experience in the use of these techniques has highlighted a range of strengths and weaknesses in ease of construction, scope and functionality, and computational performance. In particular, the domain coverage provided by each technique was limited by the availability of useful knowledge, models, cases and data. Therefore, an integrated approach to the application of intelligent systems in condition monitoring has been proposed which uses intelligent systems methods providing flexible and robust provision of plant management information for entire engineering processes and systems
  • Keywords
    computerised monitoring; condition monitoring; electrical plant; engineering processes; engineering systems; high quality information; intelligent systems techniques; operational plant management decisions; plant management information; strategic plant management decisions;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Condition Monitoring of Large Machines and Power Transformers (Digest No: 1997/086), IEE Colloquium on
  • Conference_Location
    London
  • Type

    conf

  • DOI
    10.1049/ic:19970495
  • Filename
    643800