Title :
Prediction of Coal Mine Safety Level Based on LSSVM
Author :
Liu, Desheng ; Xu, Zhiru ; Wang, Wei ; Wang, Lei
Author_Institution :
Coll. of Inf. & Electrics Technol., Jiamusi Univ., Jiamusi, China
Abstract :
Coal mine disaster has a serious threat to production and safety, mine safety prediction is an extremely challenging problem from many perspectives. This paper describes a generic fusion model for coal mine safety combining information from several physically different sensors aiming to the detection, monitoring and crisis management of such natural hazards. A conduct model base on least squares support vector machine (LSSVM) is proposed. Experimental results from the coal mine sensors are presented
Keywords :
Accidents; Condition monitoring; Electrical safety; Explosions; Fires; Product safety; Remote monitoring; Security; Sensor fusion; Support vector machines; coal mine safety; multisensor fusiion; support vector machine;
Conference_Titel :
Machine Vision and Human-Machine Interface (MVHI), 2010 International Conference on
Conference_Location :
Kaifeng, China
Print_ISBN :
978-1-4244-6595-8
Electronic_ISBN :
978-1-4244-6596-5
DOI :
10.1109/MVHI.2010.71
