利用声发射技术预测预报煤与瓦斯突出

THE PREDICTION OF COAL AND GAS OUTBURST USING THE ACOUSTIC EMISSION TECHNIQUE

  • 摘要: 针对煤与瓦斯突出的预测预报问题,开发了多道声发射实时监测系统及有关的软件系统;采用机械噪声抑制和多道相关处理技术、波形自动识别技术及动态数据统计分析中最小标准偏差理论等,成功地解决了井下不均匀介质情况下小尺度的声发射源的定位问题。

     

    Abstract: With respect to the prediction of coal and gas outburst,the re-time monitoring system of multichannel acoustic emission and the relative software system are developed.The location problem of small-scale acoustic emission source under the underground heterogeneous media is solved successfully by using the mechanical noise suppression and multichannel correlation processing,wave form automatic recognition and minimum standard deviation theory in the statistical analysis of dynamic data.

     

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