CAJ | 학술논문

矿山微震波形具有非平稳、非高斯、突发瞬态等特点，使用常规方法很难寻求其特征。通过确立微震波形的分形特性，编制了相应的MATLAB程序求解计算，对矿山微震波形的小波分形特征进行了研究。建立了矿山微震波形的分形计算算法及合理标度；利用小波包方法将微震波形分解为多个频带，选择了（0～64）Hz、（64～96）Hz、（96～128）Hz和（128～256）Hz四个主频带进行研究；建立了四个频带对应的logNk 与logk关系拟合曲线，并提取了相应的特征值。结果表明：微震波形具有良好的分形特性，其盒维数的大小在一定程度上与频率的高低相对应；波形主频带S4，2与整个波形的盒维数近似相等。微震波形主频带上的分形特性可以作为该波形的特征，用于不同类型微震波形的分类识别。
광산미진파형구유비평은、비고사、돌발순태등특점，사용상규방법흔난심구기특정。통과학립미진파형적분형특성，편제료상응적MATLAB정서구해계산，대광산미진파형적소파분형특정진행료연구。건립료광산미진파형적분형계산산법급합리표도；이용소파포방법장미진파형분해위다개빈대，선택료（0～64）Hz、（64～96）Hz、（96～128）Hz화（128～256）Hz사개주빈대진행연구；건립료사개빈대대응적logNk 여logk관계의합곡선，병제취료상응적특정치。결과표명：미진파형구유량호적분형특성，기합유수적대소재일정정도상여빈솔적고저상대응；파형주빈대S4，2여정개파형적합유수근사상등。미진파형주빈대상적분형특성가이작위해파형적특정，용우불동류형미진파형적분류식별。
The microseismic signal inmine is a kind of discrete linear signal , which is difficult to find its character-istics using conventional methods .In this paper , based on previous studies , the fractal characteristics of the micro-seismic signals inmine was verified and researched .The microseismic signal was analyzed firstly by the establishing of scale-free interval and the calculating of the box-dimension , and then decomposed by using the wavelet packet theory according to its power spectrum characteristics;Four main frequency bands were selected for further analy-sis:extracting the reconstructed signal of the bands to calculate the box-counting dimension .Those bands were S 3,0 (0-64Hz), S4,2(64-96Hz), and this is the frequency band where the peak of the power spectrum located ), S4,3(96-128Hz), and S3,2(128-256Hz); The fitting curve of reconstruction signal corresponding relation be-tween logNk and logk was been drawn , and the corresponding box dimension was extracted .The results showed that the microseismic signal has a good fractal characteristics , the value of the box-counting dimension to some extent re-flects the value of the frequency;and the box-counting dimension of the main frequency band , S4,2 , and the whole signal are approximately equal to each other .In this case , the box-counting dimension can be used to represent the characteristic of the signal for quantitative recognition of different microseismic signals .