电子器件2025，Vol.48Issue(1)：218-222,5.DOI:10.3969/j.issn.1005-9490.2025.01.035
针对煤岩体稳定性预测的声发射分形特征研究
Fractal Dimension Feature of Acoustic Emissions for Predicting the Stability of Coal Rock
摘要
Abstract
According to the acoustic emission(AE)chaotic features caused by coal rock instability,a new fractal dimension algorithm based on waveform analysis method(WFD)is presented.The WFD computational formula is deduced,and shuffled frog leaping algorithm(WFD-SFLA)to further optimize the formula parameters.Based on this optimal formula,AE data from the two typical coal rock fracture modes in mine are selected to further get the exponent relationship between WFD-SFLA value and short-time energy,and then 44 different features are adopted to train SVM for predicting model of coal rock stability in mine.The theory analysis and experiment show that WFD-SFLA re-flects failure development of coal rock comprehensively and in detail,raises predicting precision and reduces computation complexity obvi-ously,demonstrating that the proposed method is a new effective way to predict and analyze the stability of coal rock.关键词
分形维数/声发射/失稳破裂/岩体稳定性Key words
fractal dimension/acoustic emission/instable fracture/coal rock stability分类
地质学引用本文复制引用
李晶,杨勇..针对煤岩体稳定性预测的声发射分形特征研究[J].电子器件,2025,48(1):218-222,5.基金项目
国家自然科学基金项目(52005267) （52005267）
