• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International Conference on Manufacturing Science and Technology >Coal-rock character recognition in fully mechanized caving faces based on acoustic pressure data time domain analysis
【24h】

Coal-rock character recognition in fully mechanized caving faces based on acoustic pressure data time domain analysis

机译：基于声压数据时域分析的综位机械化面煤岩字形识别

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

For the technical problems of coal and rock character recognition in fully mechanized caving faces. A method on characterization and recognition of coal and rock traits were discussed based on the time domain indexes of acoustic pressure data according to the differences of physics and mechanical parameters of coal and rock, and the differences of acoustic pressure data when coal and rock falling impact the rear beam of the sublevel caving hydraulic support. Firstly, the top coal caving experiments were carried out with mining portable vibration recorder developed by China University of Mining and Technology (Beijing) in fully mechanized caving faces in the underground mines, and the acoustic pressure data in quantity were acquired; Then, signal preprocessing were carried on to remove trend items for the selected acoustic pressure data; Finally, the acoustic pressure dates were analyzed in time domain and the time domain features were acquired. Comparison found, peak to peak, variance and kurtosis index are sensitive to the working conditions and the variance with a higher recognition rate. Accordingly proposed an analytical method that based on time-domain features of acoustic pressure date which used variance as recognition indicator, providing technical support for improving the caving automation and intelligent in the fully mechanized caving face.
机译：对于煤岩字符识别的综放开采的技术问题。关于表征和识别煤岩性状的方法进行了讨论，根据物理和煤岩的力学参数，以及声压数据的差异时煤岩掉落冲击的差异基于声压数据的时域索引该放顶煤液压支撑的后梁。首先，放顶煤实验用通过挖掘矿业大学（北京）的中国大学综放开采的地下矿山开发的便携式振动记录仪进行，并收购量声压的数据;然后，信号预处理分别进行以去除趋势项的所选声学压力数据;最后，声压日期的时域分析和被收购时域特性。比较发现，峰到峰，方差和峰度指数是对工作条件和具有较高识别率的方差敏感。因此提出，基于声压日期的时域特征，其使用方差作为识别指示符，提供用于改善在综放面的崩落自动化和智能技术支持的分析方法。

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