| 基于灰关联方法对突出预测敏感指标的研究 |
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| 引用本文： | 钟廷盛.基于灰关联方法对突出预测敏感指标的研究[J].山西煤炭,2012,32(5):48-49,54. |
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| 作者姓名： | 钟廷盛 |
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| 作者单位： | 山西焦煤西山煤电集团公司 屯兰矿,山西古交,030206 |
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| 摘 要： | 屯兰矿为煤与瓦斯突出矿井,主采8号煤层为突出煤层.突出预测的准确性及有效性是影响煤巷掘进速度的主要因素,经在煤巷测定煤层瓦斯含量和突出预测指标,利用灰关联分析方法对钻屑瓦斯解吸指标△h2及K1、钻屑量S的敏感性进行了研究.分析表明,钻屑瓦斯解吸指标K1可更准确反映工作面前方煤体的突出危险程度,可作为屯兰矿煤巷掘进突出预测的敏感指标.
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| 关 键 词： | 突出预测 敏感指标 灰关联分析 |
Study on Sensitive Indicator for Outburst Prediction on Grey Relational Analysis |
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| ZHONG Ting-sheng.Study on Sensitive Indicator for Outburst Prediction on Grey Relational Analysis[J].Shanxi Coal,2012,32(5):48-49,54. |
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| Authors: | ZHONG Ting-sheng |
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| Affiliation: | ZHONG Ting-sheng(Tunlan Mine,Xishan Coal and Electricity Group Co.,Shanxi Coking Coal Group,Gujiao Shanxi 030206) |
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| Abstract: | Tunlan Mine has coal and gas outburst.Its No.8 seam is outburst seam.The precision and effectiveness of outburst prediction is one of main factors influencing the driving speed.On the analysis of gas content and outburst prediction indicator of the seam,the study examines the drilling bits gas desorption indexes(Δh2 and K1) and sensitivity of drilling bits(S) with grey relational analysis.The results show that the gas desorption index K1 could reflect the outburst hazard accurately,which could be used as sensitive indicator in the roadway tunneling. |
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| Keywords: | outburst prediction sensitive indicator grey relational analysis |
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