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http://dx.doi.org/10.12989/gae.2017.13.5.861

Hazard prediction of coal and gas outburst based on fisher discriminant analysis  

Chen, Liang (School of Energy & Environment Engineering, Zhongyuan University of Technology)
Wang, Enyuan (Key Laboratory of Coal Methane and Fire Control, Ministry of Education, China University of Mining and Technology)
Feng, Junjun (Key Laboratory of Coal Methane and Fire Control, Ministry of Education, China University of Mining and Technology)
Wang, Xiaoran (Key Laboratory of Coal Methane and Fire Control, Ministry of Education, China University of Mining and Technology)
Li, Xuelong (Key Laboratory of Coal Methane and Fire Control, Ministry of Education, China University of Mining and Technology)
Publication Information
Geomechanics and Engineering / v.13, no.5, 2017 , pp. 861-879 More about this Journal
Abstract
Coal and gas outburst is a serious dynamic disaster that occurs during coal mining and threatens the lives of coal miners. Currently, coal and gas outburst is commonly predicted using single indicator and its critical value. However, single indicator is unable to fully reflect all of the factors impacting outburst risk and has poor prediction accuracy. Therefore, a more accurate prediction method is necessary. In this work, we first analyzed on-site impacting factors and precursors of coal and gas outburst; then, we constructed a Fisher discriminant analysis (FDA) index system using the gas adsorption index of drilling cutting ${\Delta}h_2$, the drilling cutting weight S, the initial velocity of gas emission from borehole q, the thickness of soft coal h, and the maximum ratio of post-blasting gas emission peak to pre-blasting gas emission $B_{max}$; finally, we studied an FDA-based multiple indicators discriminant model of coal and gas outburst, and applied the discriminant model to predict coal and gas outburst. The results showed that the discriminant model has 100% prediction accuracy, even when some conventional indexes are lower than the warning criteria. The FDA method has a broad application prospects in coal and gas outburst prediction.
Keywords
coal and gas outburst; prediction; fisher discriminant analysis; indicator;
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