152. Mine Workface Gas Emission Time-Series Fractal Properties

Mine workface gas emission time series has a complex nonlinear characteristics, R/S method is presented to analyze their fractal characteristics in this paper. First, R/S basic principle is introduced and long-range correlation properties are analyzed; at the same time the effective correlation length is calculated. Second, the algorithm program is implemented under MATLAB200b environment, and two noise sequences are used to verify it. Finally, three gas outburst time-series data and two non-outburst time-series data of Hebi 10th mine 1,113 workface are analyzed using above program. The results show that: they Hurst index values are greater than 0.5, whether exist gas outbursts or not, which show workface gas emission time series has positive correlation feature, and this feature of non-outburst’s is obviously stronger than outburst’s. Furthermore the effective correlation length of non-outburst gas time series is also significantly longer than outburst occurs.