【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。更多还原

【Abstract】 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.更多还原