• DocumentCode
    1107647
  • Title

    On-Line Diagnosis of Turbine-Generators using Artificial Intelligence

  • Author

    Gonzalez, Avelino J. ; Osborne, Robert L. ; Kemper, Chris T. ; Lowenfeld, Simon

  • Author_Institution
    Westinghouse Electric Corporation, Steam Turbine Generator Division, Orlando, Florida 32817
  • Issue
    2
  • fYear
    1986
  • fDate
    6/1/1986 12:00:00 AM
  • Firstpage
    68
  • Lastpage
    74
  • Abstract
    An Artificial Intelligence (AI) based, on-line Turbine Generator diagnostic expert system which is is presently under development is described. Utilizing the inputs from a number of sensors, the diagnostic system evaluates the condition of the equipment and communicates appropriate action. This is an improvement over present monitoring systems which simply apply alarm limits to the value of each sensed variable. In comparison to a monitoring system, a diagnostic system identifies equipment and instrument problems earlier with a higher degree of accuracy.
  • Keywords
    Artificial intelligence; Decision trees; Diagnostic expert systems; Humans; Instruments; Monitoring; Programming profession; Research and development; Sensor systems; Turbines;
  • fLanguage
    English
  • Journal_Title
    Energy Conversion, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8969
  • Type

    jour

  • DOI
    10.1109/TEC.1986.4765702
  • Filename
    4765702