AE predicting study on compression and fracture of limestone sample based on discrete wavelet analysis
YANG Yong-jie
WANG De-chao
CHEN Shao-jie
WANG Kai
Abstract：According to the discrete data series of AE parameters with time(strain) obtained from the experiments on limestone samples, and through wavelet coefficient decomposition of AE energy rate and calculation, Lipschitz index α on different scales were obtained. Adopted the earliest time (strain) when the Lipschitz index a first became negative on different scales as fracture predicting time of rock, well anastomosis with experiment result.
Keywords：discrete waveletlimestoneacoustic emissionscaleprecursor information
Publication Date：2010-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 213-217 )