基于EMD方法的煤岩界面识别研究
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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。
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.
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.
引文
[1]王增才,张秀娟,张怀新,王志刚.自然γ射线方法检测放顶煤开采中的煤矸混合度研究[J].传感技术学报,2003,(4):442-446.
[2]秦剑秋.自然射线煤岩界面识别传感器的理论建模及实验验证[J].煤炭学报,1996,21(5):513-516.
[3]陈子雄,吴琛,周瑞忠.希尔伯特—黄变换及其在地震信号分析中的应用[J].福州大学学报(自然科学版),2006,34(2):260-264.
[4]李辉,郑海起,唐力伟.应用Hilbert-Huang变换的齿轮磨损故障诊断研究[J].振动、测试与诊断,2005,25(3):200-204.
[2]秦剑秋.自然射线煤岩界面识别传感器的理论建模及实验验证[J].煤炭学报,1996,21(5):513-516.
[3]陈子雄,吴琛,周瑞忠.希尔伯特—黄变换及其在地震信号分析中的应用[J].福州大学学报(自然科学版),2006,34(2):260-264.
[4]李辉,郑海起,唐力伟.应用Hilbert-Huang变换的齿轮磨损故障诊断研究[J].振动、测试与诊断,2005,25(3):200-204.
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