Application of Stepwise Discriminant Analysis with Nonparametric Method to Forecasting of Coal Spontaneous Combustion
Coal spontaneous combustion is one of the main engineering geological hazards and is affected by various factors. So it is an important issue to make precise forecast on both the date and the scale of spontaneous combustion in mining engineering. Although a lot of data and materials have been aeeumulated, coal spontaneous combustion is still an extremely complicated physical-chemical and environmental process to be harnessed. Based on the principle of stepwise diseriminant analysis with nonparametric, a stepwise discriminant analysis model to predict the possibility of coal spontaneous combustion is established. The main control factors of eoal spontaneous combustion, such as coal seam thickness, coal bed pitch, the consistent coefficient of distant coal are regarded as the diseriminant factors in the stepwise diseriminant analysis model. A series of samples of a coalfield are taken as the training and testing samples, and the ratio of mistake-distinguish is considerably low zero after the stepwise diseriminant analysis model is trained. The results show that the stepwise discriminant analysis model can be used to predict the possibility of coal spontaneous combustion in mining engineering, and the prgdicting result is reliable and the prediction accuracy is acceptable. A new forecasting method of coal spontaneous combustion is presented.
mining engineering coal spontaneous combustion stepwise discriminant analysis with nonparametric forecast method
CHEN Hongjiang WU Lihong TANG Yangui
School of Resources and Safety Engineering,Central South University,Changsha 410083,Hunan,China School of Economy and Trade,Hunan University,Changsha 410079,Hunan,China School of Business,Central South University of Forestry and Technology,Changsha 410004,Hunan,China
国际会议
The 2008 International Symposium on Safety Science and Technology(2008年安全科学技术国际会议)
北京
英文
1358-1361
2008-09-24（万方平台首次上网日期，不代表论文的发表时间）