基于LCD分解的微震信号分析与识别

 针对矿山微震监测信号识别难，识别速度慢的问题，引入新的非平稳信号的分析方法--局部特征尺度分解法（LCD），该方法可以自适应地将一个复杂的信号分解为若干个瞬时频率具有物理意义的内禀尺度分量（ISC）之和。与传统的经验模态分解（EMD）相比，LCD 计算的效率更高，并能更好地抑制端点效应。分别对矿山典型的岩石破裂微震信号和爆破振动信号进行LCD，结果表明，2种信号均得到了有效的分解。对各ISC作频谱分析表明，2种信号在频率分布上存在较大差异。对各ISC作Hilbert变换，得到的能量分析结果表明，2种信号在能量分布上也存在较大差异。该方法为快速、准确地识别微震信号提供了新的途径。

Analysis and Differentiation of Micro-seismic Signal Based on LCD Decomposition

A new method for non-stationary signal analysis, local characteristic-scale decomposition (LCD), was applied to analysis of micro-seismic signals to overcome the difficulties in differentiation of micro-seismic signals in mines and improve differentiation efficiency. With LCD, a complicated signal self-adaptively decomposes into a number of intrinsic scale components (ISC), whose instantaneous frequencies have physical significance. Compared with the conventional empirical mode decomposition method, LCD method has higher computational efficiency and better restriction of end effects. The results show that it was effective to use LCD to decompose typical micro-seismic signals of rock fracture and blast vibration signals in mines. Frequency spectrum analysis of each ISC shows that the two kinds of signals had significant difference in frequency distribution, and Hilbert transformation of each ISC shows that they also had significant difference in energy distribution. This method provides a new approach to rapid and accurate differentiation of micro-seismic signals.