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
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