• DocumentCode
    3361922
  • Title

    Gas leakage detection system using Kalman filter

  • Author

    Sheng, Zhang ; Toshiyuki, Adcura ; Shoji, Hayashi

  • Author_Institution
    Graduate Sch. of Eng., Fukui Univ., Japan
  • Volume
    3
  • fYear
    2004
  • fDate
    31 Aug.-4 Sept. 2004
  • Firstpage
    2533
  • Abstract
    This paper is concerned with gas leakage fault detection of a pneumatic pipe system using Kalman filter. In modern plants, the ability to detect and identify gas leakage faults is becoming increasingly important. The main difficulty to detect gas leakage faults by sound signals lies in that the background noise is usually very strong in the practical plants. In this research to solve this difficulty, Kalman tiller is used as to eliminate background noise. Through application to practical pneumatic systems, it is verified that proposed detection method was effective in gas leakage detection.
  • Keywords
    Kalman filters; acoustic signal processing; chemical industry; fault location; leak detection; nuclear power stations; pipelines; pipes; pneumatic systems; Kalman filter; gas leakage fault detection; pneumatic pipe system; sound signal; Equations; Leak detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on
  • Print_ISBN
    0-7803-8406-7
  • Type

    conf

  • DOI
    10.1109/ICOSP.2004.1442297
  • Filename
    1442297