基于主成分分析的突出危险性评价指标敏感性分析

Sensitivity Analysis of Outburst Hazard Evaluation Index Based on Principal Component Analysis

摘要: 突出危险性评价的关键是在各评价指标中筛选出评价区域的敏感性指标。以贵州省盘县煤矿的突出危险性评价指标为研究对象,选取瓦斯压力p、瓦斯放散初速度△P、煤的坚固性系数f、煤的破坏类型、综合指标D值和K值进行了主成分分析,并对各指标的敏感性进行了排序。结果表明,在贵州省盘县矿区综合指标K值的敏感性最强。
- 主成分分析 /
- 突出危险性 /
- 评价指标 /
- 敏感性
Abstract: The key of outburst hazard evaluation is to screen out the sensitive index of evaluation region from various evaluation indexes.Taking the evaluation index of outburst hazard in Panxian coal mine of Guizhou Province as research object,the principal component analysis was done by selecting gas pressure p,initial speed of methane emission△P,consistent coefficient of coal f,failure types value,comprehensive index D and K value,and the sensitity of each index was sorted.The result showed that the sensitivity of comprehensive index K value in Panxian coal mine of Guizhou Province is the strongest.
- principal component analysis /
- outburst hazard /
- evaluation index /
- sensitivity

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