• DocumentCode
    3172532
  • Title

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

  • Author

    Lv, Runsheng ; Ni, Xiaoming

  • Author_Institution
    Inst. of Resources & Environ., Henan Polytech. Univ., Jiaozuo, China
  • fYear
    2011
  • fDate
    8-10 Aug. 2011
  • Firstpage
    374
  • Lastpage
    377
  • Abstract
    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.
  • Keywords
    coal; forecasting theory; measurement uncertainty; mining industry; occupational safety; optimisation; uncertain systems; Taylor series; coal bed; coal outburst forecast; forecast indexes optimization; gas outburst forecast; measurement uncertainty analysis; outburst forecast indexes; uncertainty propagation formula; uncertainty theory; Coal; Forecasting; Indexes; Mathematical model; Measurement uncertainty; Pressure measurement; Uncertainty; Taylor series; Uncertainty; mathematical model; outburst prediction indexes; propagation rate;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
  • Conference_Location
    Deng Leng
  • Print_ISBN
    978-1-4577-0535-9
  • Type

    conf

  • DOI
    10.1109/AIMSEC.2011.6010511
  • Filename
    6010511