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Noise reduction of AE signal in predicting the disasters of coal mine

机译:声发射信号降噪在煤矿灾害预测中的应用

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摘要

AE (Acoustic Emission) technique is one of the effective methods to predict the dynamical disasters of coal mine.However,owing to the real application of AE technique in coal mine,the main problem was that there was some complex and various noises in working environment of mine,and the noises would superpose the effective AE signal.As a result,the AE signal is difficult to be identified from the interference signal.To reduce the noise,the numerical filter technique can be competent for the work.LMS (Least Mean Square) adaptive filter was suitable to reduce noise in mine and the MATLAB simulated experiment indicated that this method could availably restrain the noises in a certain extent.
机译:声发射技术是预测煤矿动态灾害的有效方法之一。然而,由于声发射技术在煤矿中的实际应用,主要问题是工作环境中存在一些复杂多样的噪声。结果,很难从干扰信号中识别出AE信号。为减少噪声,数值滤波技术可以胜任这项工作。方型自适应滤波器适用于减少矿井中的噪声,MATLAB仿真实验表明该方法可以在一定程度上有效地抑制噪声。

著录项

  • 来源
  • 会议地点 Qingdao(CN);Qingdao(CN)
  • 作者

    LUO Nianbei; rnPAN Yan;

  • 作者单位

    Tong Minming@College of information and electric engineering,China University of mining and technology Xuzhou,Jiangsu 221008,China--Feng Yingbo@College of information and electric engineering,China University of mining and technology Xuzhou,Jiangsu 221008,China--Xu Jiankun@College of information and electric engineering,China University of mining and technology Xuzhou,Jiangsu 221008,China--Dai Xinlian@College of information and electric engineering,China University of mining and technology Xuzhou,Jiangsu 221008,China--;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 矿山事故及救护 ;
  • 关键词

    The LMS algorithm; Noise reduction; AE (acoustic emission);

    机译:LMS算法;降噪;声发射;

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