• DocumentCode
    3414011
  • Title

    Industrial applications of the intelligent fault diagnosis system

  • Author

    Jämsä-Jounela, S-L ; Vermasvuori, M. ; Haavisto, S. ; Kämpe, J.

  • Author_Institution
    Dept. of Chem. Technol., Helsinki Univ. of Technol., Espoo, Finland
  • Volume
    6
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    4437
  • Abstract
    Process monitoring and fault diagnosis have been widely studied in recent years, and a large number of industrial applications are reviewed. For further improvement of the reliability and safety of the process and the process equipment, the automatic early detection and localisation of faults is of high interest. This paper presents an intelligent process fault diagnosis system. The system is capable of detecting faults of the process and equipment. The process monitoring is performed using Kohonen self-organizing maps and the analysis of the equipment failures are integrated to the system. The structure of the integrated system is described and its performance is illustrated by case studies
  • Keywords
    diagnostic expert systems; fault diagnosis; process monitoring; self-organising feature maps; Kohonen self-organizing maps; fault detection; fault diagnosis; intelligent diagnostic system; process monitoring; remote support; Chemical technology; Condition monitoring; Fault detection; Fault diagnosis; Intelligent systems; Neurons; Performance analysis; Principal component analysis; Remote monitoring; Self organizing feature maps;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2001. Proceedings of the 2001
  • Conference_Location
    Arlington, VA
  • ISSN
    0743-1619
  • Print_ISBN
    0-7803-6495-3
  • Type

    conf

  • DOI
    10.1109/ACC.2001.945677
  • Filename
    945677