【摘要】 简要介绍了经验模态分解(Emepirical Mode Decomposition,EMD)方法的基本思想,并对放顶煤过程中产生的声波信号进行EMD分解和频谱分析。EMD方法能把1个复杂的非平稳信号分解为有限个固有模态函数分量(In-trinsic Mode Function,IMF)之和,分解出的各个IMF分量是平稳的,具有实际的物理意义。根据各IMF的频谱,可获得顶煤放落过程中产生的声波信号的频率组成,进行煤岩界面识别。更多还原

【Abstract】 The basic theory of emepirical mode decomposition(EMD) was briefly introduced.Then EMD and fourier frequency spectrum analysis were used for the processing of the sound signal brought in the top coal caving.The results show that EMD method can decompose a complex non-stationary signal into several intrinsic mode functions(IMFs) reflecting the intrinsic characteristics of the signal,frequency components of the sound signal can be obtained based on the spectrum of IMFs,and the identification of coal and rock interface can be realized.更多还原