The Prediction of Coal and Gas Outburst Based on Systematic Cluster Analysis and Distinguish Analysis
ZHAO Rong
QI Li-ming
GE Xu-bin
JI Dan-ni
Abstract：Coal and gas outburst is an extraordinarily complicated dynamic phenomenon: plenty of influential factors and complex causes. So the measured values of coal seam gas pressure P, gas initial diffusion velocityΔP, coal destruction type D, coal solidity coefficient f of representative outburst mines were conducted systematic cluster analysis by the soft of SPSS (Statistical Package for the Social Science) first. The analysis result agreed with actual dynamic phenomenon of 17 known samples, which illustrated that it is reasonable to use four indexes synthetically for forecasting coal and gas outburst. Then a forecasting function of coal and gas outburst was built by conducting distinguish analysis. The outburst danger of 17 known samples and 4 un-known samples could be identified correctly by forecasting function in practice, providing a new method for prediction of coal and gas outburst.
Keywords：systematic cluster analysisdistinguish analysiscoal and gas outburstprediction
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 14-19 )