基于Hilbert-Huang变换的煤矸声波信号分析
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摘要
基于Hilbert-Huang变换技术,对综采工作面上采集的煤和矸石振动声波信号进行了经验模态分解(EMD)和Hilbert谱分析,得到顶煤下落和煤矸混放2种情况下声波信号的频率和幅值特征,即顶煤下落产生的声波信号主要集中在400~600 Hz范围内;当有矸石出现,即煤矸混放时,声波信号中还出现了比较强的高频信号成分(1 000~2 800 Hz),而因为煤矸混放,放煤量降低,其400~600 Hz频率范围内的信号成分减弱。煤矸声波信号的上述特征可用于煤矸界面的识别。
Based on Hilbert-Huang transformation,Emepirical Mode Decomposition and Hilbert spectrum analysis were carried out for coal and gangue acoustic signals collected in fully-mechanized face.Frequency and amplitude characteristics of acoustic signals in the case of top coal caving and coal combined with gangue were gotten.In the case of top coal caving,the signals frequency is about 400 Hz to 600 Hz.When the top coal is combined with gangue,signals with high frequency about 1 000 Hz to 2 800 Hz are produced.In the same time,the amplitude of the signals between 400 and 600 Hz is weaken because the coal's quantity is reduced.The acoustic signals'characteristics described above can be used to the recognition of coal-rock interface.
Based on Hilbert-Huang transformation,Emepirical Mode Decomposition and Hilbert spectrum analysis were carried out for coal and gangue acoustic signals collected in fully-mechanized face.Frequency and amplitude characteristics of acoustic signals in the case of top coal caving and coal combined with gangue were gotten.In the case of top coal caving,the signals frequency is about 400 Hz to 600 Hz.When the top coal is combined with gangue,signals with high frequency about 1 000 Hz to 2 800 Hz are produced.In the same time,the amplitude of the signals between 400 and 600 Hz is weaken because the coal's quantity is reduced.The acoustic signals'characteristics described above can be used to the recognition of coal-rock interface.
引文
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[7]Loh C H.Application of the empirical mode decomposition-Hilbertspectrum method to identify near-fault ground-motion charact-eristicsand structural responses[J].Bulletin of the Seismological Society ofAmerica,2001,91:1 339-1 357.
[8]皮红梅,刘财,王典.利用Hilbert-Huang变换提取地震信号瞬时参数[J].石油地球物理勘探,2007,42(4):418-424.Pi Hongmei,Liu Cai,Wang Dian.Using Hilbert-Huang transform topick up instantaneous parameters of seismic signal[J].Oil Geo-physical Prospecting,2007,42(4):418-424.
[9]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.Li Hui,Zheng Haiqi,Tang Liwei.Research on faults diagnosis ofgearwear based on Hilbert-Huang transform[J].Journal of Vibra-tion,Measurement&Diagnosis,2005,25(3):200-204.
[10]Echeverria J C.Application of empirical mode decomposition toheart rate variability analysis[J].Medical&Biological Engineer-ing&Computing,2001,39:471-479.
[11]Ivan Magrin Changnolleau,Richard G Baraniuk.Empirical modedecomposition based time-frequency attributes[A].Proceedings ofthe 69th SEG Meeting[C].Houston,United States,1999.
[2]秦剑秋,郑建荣,朱旬,等.自然γ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.Qin Jianqiu,Zheng Jianrong,Zhu Xun,et al.Establishment of a the-oretical model of sensor for identification of coal and rock interfaceby naturalγ-ray and underground trials[J].Journal of China CoalSociety,1996,21(5):513-516.
[3]任芳,杨兆建.国内外煤岩界面识别技术研究动态综述[J].煤,2001,10(4):54-55.Ren Fang,Yang Zhaojian.Summary on research trends of coal-rockinterface recognition at home and abroad[J].Coal,2001,10(4):54-55.
[4]张守祥,张艳丽,王永强,等.综采工作面煤矸频谱特征[J].煤炭学报,2007,32(9):971-974.Zhang Shouxiang,Zhang Yanli,Wang Yongqiang,et al.Caved coaland rock spectrum on long wall face[J].Journal of China Coal Soci-ety,2007,32(9):971-974.
[5]Huang N E,Shen Z,Long S R.The empirical mode decompositionand the Hilbert spectrum for nonlinear and non-stationary time seriesanalysis[J].Proc.R.Soc.Lond.A,1998,454:903-995.
[6]Huang N E,Shen Z,Long S R.A new view of nonlinear waterwaves:the Hilbert spectrum[J].Annual Review of Fluid Mechan-ics,1999,31(1):417-457.
[7]Loh C H.Application of the empirical mode decomposition-Hilbertspectrum method to identify near-fault ground-motion charact-eristicsand structural responses[J].Bulletin of the Seismological Society ofAmerica,2001,91:1 339-1 357.
[8]皮红梅,刘财,王典.利用Hilbert-Huang变换提取地震信号瞬时参数[J].石油地球物理勘探,2007,42(4):418-424.Pi Hongmei,Liu Cai,Wang Dian.Using Hilbert-Huang transform topick up instantaneous parameters of seismic signal[J].Oil Geo-physical Prospecting,2007,42(4):418-424.
[9]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.Li Hui,Zheng Haiqi,Tang Liwei.Research on faults diagnosis ofgearwear based on Hilbert-Huang transform[J].Journal of Vibra-tion,Measurement&Diagnosis,2005,25(3):200-204.
[10]Echeverria J C.Application of empirical mode decomposition toheart rate variability analysis[J].Medical&Biological Engineer-ing&Computing,2001,39:471-479.
[11]Ivan Magrin Changnolleau,Richard G Baraniuk.Empirical modedecomposition based time-frequency attributes[A].Proceedings ofthe 69th SEG Meeting[C].Houston,United States,1999.
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