• DocumentCode
    2942152
  • Title

    Research on Infrared Methane Detecting System Based on Support Vector Machines Used in Mine

  • Author

    Zhang, Li ; Wang, RuLin ; Zhang, LiLi ; Liu, Kui Kui

  • Author_Institution
    Inst. of Mech. & Electron. Eng., China Univ. of Min. & Technol. (Beijing), Beijing, China
  • Volume
    2
  • fYear
    2009
  • fDate
    12-14 Dec. 2009
  • Firstpage
    450
  • Lastpage
    453
  • Abstract
    Methane does enormously harm to people and safety production in coal mine. A new infrared methane detecting system based on support vector machines is illustrated in the paper. Methane concentration is detected by using the infrared absorption principle. Optics structure that could compensate to power source anti-jamming, mismatch of the detectors, gas cell material´s absorption, and dust´s influence was used, it developed with dual light sources and dual detectors. In order to dispel the influence of temperature and humidity, the mathematical model of infrared methane sensor based on Support Vector Machines was built. Gaussian RBF kernel was adopted in the model The experimental results show that whole system runs very well with a high precision, a strong capacity of anti-jamming, a wide measurement range, a good selectivity, and an online detecting ability, satisfies the requirements of mine.
  • Keywords
    Gaussian processes; mining; radial basis function networks; support vector machines; Gaussian RBF kernel; coal mine; gas cell material absorption; infrared methane detecting system; infrared methane sensor; methane concentration; power source antijamming; support vector machines; Electromagnetic wave absorption; Humidity; Infrared detectors; Infrared sensors; Light sources; Optical sensors; Product safety; Production; Support vector machines; Temperature sensors; Detecting; Infrared; Methane sensor; Optical path; Support Vector Machines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-0-7695-3865-5
  • Type

    conf

  • DOI
    10.1109/ISCID.2009.258
  • Filename
    5371058