【摘要】 针对煤矿井下地音信号复杂的情况,提出一种基于小波变换的地音信号处理方法,并对现场信号进行实验分析。结果表明:小波变换方法可以去除地音信号的背景噪声,将复杂的声发射波形数据分解为具有单一特征的波。该研究为工作面动力灾害的实时预报提供了依据。更多还原

【Abstract】 This paper responds to the notorious complexity of AE signal from underground coal mines by developing a signal processing method based on wavelet transform,and performing an experimental analysis of field signal. Results show that: wavelet transform boasts an ability to remove the background noise,and decompose complex acoustic emission waveform data into a single feature wave. This study may provide a basis for real time forecasting dynamic disasters.更多还原