• DocumentCode
    3851172
  • Title

    Method of Multiple Fault Isolation in Large Scale Systems

  • Author

    Jan Maciej Koscielny;Micha ł Bartys;Micha ł Syfert

  • Author_Institution
    Institute of Automatic Control and Robotics, Warsaw University of Technology, Warsaw, Poland
  • Volume
    20
  • Issue
    5
  • fYear
    2012
  • Firstpage
    1302
  • Lastpage
    1310
  • Abstract
    In this paper, problems of the online diagnostics of multiple faults in large scale systems are presented. Possibilities of recognition of multiple faults based on the knowledge of signatures of the single faults are discussed. The distinction between simultaneous faults and the series of faults is introduced and defined. The necessary condition for diagnostic reasoning assuming an occurrence of multiple faults is formulated. This paper will show that multiple faults appearing simultaneously or within short time intervals are correctly isolated under the assumption of single faults, if the subsets of faults suitable for isolation are disjunctive. A novel, practical and easy to implement algorithm designed for reasoning multiple faults is presented. An industrial example of the online diagnostics of a steam-water line of the power boiler is given.
  • Keywords
    "Large-scale systems","Boilers","Cognition","Fault detection","Cooling","Neural networks","Knowledge engineering"
  • Journal_Title
    IEEE Transactions on Control Systems Technology
  • Publisher
    ieee
  • ISSN
    1063-6536
  • Type

    jour

  • DOI
    10.1109/TCST.2011.2162587
  • Filename
    6022817