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

• Published in: International journal of rock mechanics and mining sciences (Oxford, England : 1997) Vol. 91; pp. 155 - 169
• Main Authors: Gong, Yuxin, Song, Zhanjie, He, Manchao, Gong, Weili, Ren, Fuqiang
• Format: Journal Article
• Language: English
• Published: Berlin Elsevier Ltd 01.01.2017; Elsevier BV
• Subjects: Acoustic emission; Algorithms; Bursting; Decision making; Eigenfrequency; Elastic waves; Emission analysis; Envelopes; Frequency shift; Limestone; Pollution monitoring; Precursors; Resonant frequencies; Rheological properties; Rheology; Rock burst precursor; Rocks; Shock waves; Singular spectrum analysis; Sound waves; Spectrum analysis; Unloading; Singular spectrum analysis; Acoustic emission; Frequency shift; Eigenfrequency; Rock burst precursor

Important task for acoustic emission (AE) monitoring involves detecting frequency shift phenomenon and intense periodic components. In the present research, we investigate time dynamics embedded in AE signal acquired in the laboratory rock burst experiment on limestone sample. By applying the Singul...