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  • 來興平, 蔡美峰. 大尺度采空區圍巖斷裂失穩信號數據挖掘及破壞預測分析[J]. 工程科學學報, 2003, 25(5): 394-397. DOI: 10.13374/j.issn1001-053x.2003.05.029
    引用本文: 來興平, 蔡美峰. 大尺度采空區圍巖斷裂失穩信號數據挖掘及破壞預測分析[J]. 工程科學學報, 2003, 25(5): 394-397. DOI: 10.13374/j.issn1001-053x.2003.05.029
    LAI Xingping, CAI Meifeng. Data Mining on Rock Crack Signals in Large Scale Mined-out Area and Damage Prediction Analysis[J]. Chinese Journal of Engineering, 2003, 25(5): 394-397. DOI: 10.13374/j.issn1001-053x.2003.05.029
    Citation: LAI Xingping, CAI Meifeng. Data Mining on Rock Crack Signals in Large Scale Mined-out Area and Damage Prediction Analysis[J]. Chinese Journal of Engineering, 2003, 25(5): 394-397. DOI: 10.13374/j.issn1001-053x.2003.05.029

    大尺度采空區圍巖斷裂失穩信號數據挖掘及破壞預測分析

    Data Mining on Rock Crack Signals in Large Scale Mined-out Area and Damage Prediction Analysis

    • 摘要: 隨著監測技術數字化和信息化程度逐步提高,獲得的大尺度采空區圍巖損傷演化過程,以及包括各種數據格式的圖形、矢量等信息量呈數量級增加.將小波變換、固體斷裂非平衡統計和神經網絡理論用于對非線性采空區圍巖斷裂失穩信號進行數據挖掘以及綜合分析,有利于正確認識和理解采空區圍巖體損傷演化的全過程.

       

      Abstract: With increasing development of digital and communication monitoring techniques, the quantity of obtained information about the damage process of rock mass around large scale mined-out areas is significantly increased. The information includes various figures and vectorgrams in digital form. Data mining and analysis for monitored breakage information from rock mass around mined-out areas using wavelet analysis, non-equilibrium statistics and neural network techniques will be beneficial to correct the understanding of the whole damage process of rock mass around min-out areas.

       

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