• DocumentCode
    3423715
  • Title

    ANN based tube leak detection system

  • Author

    Zhong, T. ; Alouani, A.T. ; Smoak, R.A.

  • Author_Institution
    Center for Electr. Power, Tennessee Technol. Univ., Cookeville, TN, USA
  • fYear
    1997
  • fDate
    9-11 Mar 1997
  • Firstpage
    211
  • Lastpage
    215
  • Abstract
    This paper discusses preliminary work conducted by the authors dealing with the use of artificial neural networks (ANN) to detect boiler tube leaks. The design aspects of the ANN and preliminary testing using real data are presented
  • Keywords
    boilers; leak detection; neural nets; ANN based tube leak detection system; artificial neural networks; boiler tube leaks; Acoustic signal detection; Artificial neural networks; Boilers; Costs; Information resources; Leak detection; Monitoring; Polynomials; Scheduling; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Theory, 1997., Proceedings of the Twenty-Ninth Southeastern Symposium on
  • Conference_Location
    Cookeville, TN
  • ISSN
    0094-2898
  • Print_ISBN
    0-8186-7873-9
  • Type

    conf

  • DOI
    10.1109/SSST.1997.581609
  • Filename
    581609
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3423715