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为提高矿山微震信号的有效识别效率,降低干扰,分析了矿山典型微震干扰信号的频谱特征,并采用小波去噪的方法对含噪微震信号进行了去噪研究.结果表明:不同干扰信号的波形特征、幅频特性和功率谱密度不同,但主频均在14Hz左右,功率谱密度多低于4 000dB;基于小波变换分层阈值确定的去噪模型,进行微震信号去噪后能够较少的抑制信号中的有用成分,含有较多的真实微震信息,能够最大程度的反映有效微震信号的特性.
In order to improve the effective recognition efficiency and reduce interference of mine microseismic signals, the spectral characteristics of typical microseismic interference signals in mines are analyzed, and the denoising of noisy microseismic signals is studied by wavelet denoising method.The results show that the waveform of different interference signals The characteristics, amplitude-frequency characteristics and power spectral density are different, but the dominant frequency is around 14Hz, and the power spectral density is much less than 4 000dB. Based on the de-noising model of delamination threshold determined by wavelet transform, Suppressing the useful components in the signal, containing more real microseismic information, can reflect the characteristics of the effective microseismic signal to the greatest extent.