• DocumentCode
    3063541
  • Title

    A neuro-fuzzy tube leak detection system

  • Author

    Sadok, M.M. ; Alouani, A.T.

  • Author_Institution
    Center for Electr. Power, Tennessee Technol. Univ., Cookeville, TN, USA
  • fYear
    1998
  • fDate
    8-10 Mar 1998
  • Firstpage
    176
  • Lastpage
    178
  • Abstract
    Proposes a boiler tube leak detection system (TLDS) that uses monitored boiler process variables. The system uses artificial neural networks for learning and fuzzy logic for decision making. Contrary to existing TLDS the proposed design does not require any new instrumentation hardware or maintenance. The system design is discussed. In addition, the performance of the system is analyzed using field data
  • Keywords
    boilers; fuzzy logic; inference mechanisms; knowledge acquisition; leak detection; learning (artificial intelligence); monitoring; neural nets; artificial neural networks; boiler; decision making; fuzzy logic; learning; neuro-fuzzy tube leak detection system; Artificial neural networks; Boilers; Data analysis; Decision making; Fuzzy logic; Hardware; Instruments; Leak detection; Monitoring; Performance analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Theory, 1998. Proceedings of the Thirtieth Southeastern Symposium on
  • Conference_Location
    Morgantown, WV
  • ISSN
    0094-2898
  • Print_ISBN
    0-7803-4547-9
  • Type

    conf

  • DOI
    10.1109/SSST.1998.660041
  • Filename
    660041
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3063541