煤矿瓦斯浓度时间序列的分形特性研究  

Study on Fractal Characters of Gas Concentration Time series

作　　者：鹿瑾[1] 张剑英[1] 牛光东[1] 王青青[1] 赵艳萍[1] 

机构地区：[1]中国矿业大学信电学院,江苏徐州221008

出　　处：《微计算机信息》2010年第7期213-215,共3页Control & Automation

基　　金：国家自然科学基金项目(70533050)

摘　　要：本文主要根据分形理论,研究了煤矿瓦斯浓度时间序列分形的参数和分形特性。通过仿真得到煤矿瓦斯浓度时间序列的分形维数、双对数曲线图以及赫斯特指数,对煤矿瓦斯浓度进行了重标极差分析。研究结果表明煤矿瓦斯浓度时间序列具有分形特性,是一个趋势增强的时间序列,为根据分形理论建立预测煤矿瓦斯浓度模型的研究奠定了基础。In this paper,fractal parameters and fractal characters of coal mine gas concentration time series was researched based on fractal theory.Gas concentration time series was emulated to get its fractal dimension,double -logarithm graph and Hurst index through box dimension method.Besides coal mine gas concentration was R/S analysis.The study result expresses that coal mine gas concentration time series has fractal characters,and it is stronger trend time series.That establishes foundation on setting up prediction model of coal mine gas concentration based on fractal theory.

关 键 词：煤矿瓦斯浓度 分形维数 赫斯特维数 重标极差分析 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]