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
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;
Conference_Titel :
Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium on
Conference_Location :
Changsha
Print_ISBN :
978-0-7695-3865-5
DOI :
10.1109/ISCID.2009.258