根据微震信号噪声强度ε,利用FFT滤波以及缺省的阈值确定模型、Birge-Massart策略的阈值确定模型和小波包变换中的penalty阈值确定模型对原煤单轴全程压缩加载破坏实验的微震信号进行降噪处理。理论分析及降噪结果表明,FFT滤波得到的降噪信号过于平滑,抑制了很多有用的信息成分,而小波三种阈值确定模型能够更加有效去除微震信号中的噪声成分,降噪后的信号与原信号有着很好的相似性,最大限度的反应了原始信号本身的性质。 According to the noise intensity ε of microseismic signal, using the FFT filtering and the default threshold determination model, the threshold determination model of the Birge-Massart strategy and the penalty threshold determination model in the wavelet packet transform, the microseismic signals of the uniaxial compression test Noise processing. The theoretical analysis and noise reduction results show that the noise reduction signal obtained by FFT filtering is too smooth, which suppresses many useful information components. The three wavelet threshold determination models can effectively remove the noise components in the microseismic signal. The noise-reduced signal The original signal has a very good similarity, the maximum response to the nature of the original signal itself.