Precursory waves and eigenfrequencies identified from acoustic emission data based on Singular Spectrum Analysis and laboratory rock-burst experiments

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• 作者：Yuxin Gong^a ; Zhanjie Song^a ; Manchao He^b ; ^c ; ; Weili Gong^b ; ^c ; Fuqiang Ren^b ; ^c
• 关键词：Singular spectrum analysis ; Rock burst precursor ; Eigenfrequency ; Frequency shift ; Acoustic emission
• 刊名：International Journal of Rock Mechanics and Mining Sciences
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：91
• 期：Complete
• 页码：155-169
• 全文大小：3139 K
• 卷排序：91

文摘

SSA-based algorithm was developed for analyzing AE data from rock burst test. Main part of AE data were reconstructed with the decomposed components. Selected main components are significant in eigenvector and spectral spaces. Main eigenfrequecies well represent frequency shift in rock burst process. Main component waves represent dynamic precursors in rock burst process.