陈亮, 王恩元, 冯俊军, 李学龙. 基于两总体Fisher判别分析法的煤与瓦斯突出预测[J]. 煤矿安全, 2015, 46(12): 158-160.
    引用本文: 陈亮, 王恩元, 冯俊军, 李学龙. 基于两总体Fisher判别分析法的煤与瓦斯突出预测[J]. 煤矿安全, 2015, 46(12): 158-160.
    CHEN Liang, WANG Enyuan, FENG Junjun, LI Xuelong. Prediction of Coal and Gas Outburst Based on Fisher Discriminant of Type-two[J]. Safety in Coal Mines, 2015, 46(12): 158-160.
    Citation: CHEN Liang, WANG Enyuan, FENG Junjun, LI Xuelong. Prediction of Coal and Gas Outburst Based on Fisher Discriminant of Type-two[J]. Safety in Coal Mines, 2015, 46(12): 158-160.

    基于两总体Fisher判别分析法的煤与瓦斯突出预测

    Prediction of Coal and Gas Outburst Based on Fisher Discriminant of Type-two

    • 摘要: 应用两总体Fisher判别分析法,选取电磁辐射强度、钻屑瓦斯解吸指标、钻屑量、钻孔瓦斯涌出初速度、软煤厚度为预测指标,提出了基于两总体Fisher判别分析法的煤与瓦斯突出预测模型。以河南能源化工集团有限公司九里山煤矿为例,基于两总体Fisher判别分析法的煤与瓦斯突出预测模型对无突出危险预测准确率100%,对有突出危险预测准确率80%,无漏报。

       

      Abstract: Electromagnetic radiation, gas desorption index of drilling cutting, drilling cuttings weight, initial velocity of borehole gas emission and the thickness of soft coal are selected as prediction index. Prediction model is set up by Fisher's discriminant of type-two to predict the risk of coal and gas outburst. Taking Jiulishan Coal Mine of Henan Energy and Chemical Industry Group as an example, the error rate is none in the risk area. And the accuracy rate is 80% in early warning. There is no missing, too.

       

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