首页> 外文会议>International Conference on Artificial Intelligence, Management Science and Electronic Commerce >Forecast indexes optimization of outburst in cross-out exposing coal-bed based on measurement uncertainty analysis
【24h】

Forecast indexes optimization of outburst in cross-out exposing coal-bed based on measurement uncertainty analysis

机译:基于测量不确定性分析,预测爆发爆发爆发的指数优化

获取原文

摘要

The accurate test of coal seam outburst indexes is the foundation of coal and gas outburst forecast. Recurring to well-rounded uncertainty theory and technology can build the optimization method of outburst forecast indexes aiming at the testing process complexity. Firstly, uncertain factors of effecting test results were analyzed, an uncertainty mathematics model was established based on Taylor series, and effecting component of uncertainty were assessed. Afterward, extended uncertainty was calculated, the standard uncertainty of outburst indexes were synthesized by uncertainty of each effecting component using uncertainty propagation formula. The calculation shows that extended relative uncertainty of D, K, k1, Δh2 are 41%, 42.5%, 32.2%, 24.7%, the uncertainty influence of outburst indexes testing results cannot be ignored in terms of forecasting outburst accuracy.
机译:煤层突出指数的准确试验是煤炭和天然气突出预测的基础。经常出现到圆满的不确定性理论和技术可以建立旨在测试过程复杂性的突出预测指标的优化方法。首先,分析了对测试结果的不确定因素进行了分析,基于泰勒序列建立了不确定性的数学模型,评估了不确定性的成分。之后,计算延长的不确定性,通过使用不确定性繁殖公式的每个效应组分的不确定来合成突出指数的标准不确定性。该计算表明,D,K,K 1,ΔH 2 的扩展相对不确定度为41%,42.5%,32.2%,24.7%,突出指数的不确定性影响在预测爆发准确性方面,无法忽略测试结果。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号