• DocumentCode
    2462056
  • Title

    Calculation of angle parameters of non-principle section observation station under thick loose bed

  • Author

    Wang, Lieping ; Hu, Kui ; Cheng, Yuping ; Chen, Yincui

  • Author_Institution
    Sch. of Earth & Environ. Eng., Anhui Univ. of Sci. & Technol., Huainan, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    4853
  • Lastpage
    4856
  • Abstract
    In this paper, with the low precision of angle parameters of non-principle section observation station which was calculated under thick loose bed, from the perspective of amending stochastic model, the conception of fitting weight was concluded based on analyzing the residual sequence of subsidence. The sequence of subsidence was used to construct fitting weight model of probability integral method based on least squares estimation. The author designs 3 computing solutions, and analyses various solution´s fitting result from the perspective of residual sequence of subsidence, critical deformation value, mean square error of residual and so on. At last, The main conclusions is that, in the condition of thick loose bed,the whole fitting result of equal weighted estimate is better than unequal weighted estimate,and the fitting weight 1/|Wi| could effectively improve the calculation precision of boundary angle and movement angle.
  • Keywords
    least mean squares methods; mining; probability; stochastic processes; angle parameters; boundary angle; critical deformation value; fitting weight; least squares estimation; mean square error; movement angle; nonprinciple section observation station; probability integral method; residual sequence; stochastic model; thick loose bed; Analytical models; Coal; Coal industry; Educational institutions; Fitting; Presses; Publishing; angle parameters; fitting weight; probability integral method; residual sequence; stochastic model; subsidence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-9172-8
  • Type

    conf

  • DOI
    10.1109/RSETE.2011.5965399
  • Filename
    5965399