Improvement of Autoregressive Model-Based Algorithms for Picking the Arrival Times of the P-Wave of Rock Acoustic Emission

Acoustic emission (AE) monitoring technology has been widely used in rock engineering. In addition, the accurate picking of P-wave arrival times is the key to in-depth rock mechanics and AE research. Autoregressive (AR) model-based algorithms such as AR-Akaike information criterion (AR-AIC) and AR-B...

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Bibliographic Details
Published in:	Geotechnical and geological engineering Vol. 41; no. 2; pp. 707 - 719
Main Authors:	Wang, Guilin, He, Chenhao, Liang, Feng, Gong, Sheng
Format:	Journal Article
Language:	English
Published:	Cham Springer International Publishing 01.03.2023 Springer Nature B.V
Subjects:	Accuracy Acoustic emission Acoustics Algorithms Autoregressive models Autoregressive processes Bayesian analysis Civil Engineering Criteria Earth and Environmental Science Earth Sciences Efficiency Errors Geotechnical Engineering & Applied Earth Sciences Hydrogeology Methods Original Paper P waves Probability theory Rock Rock mechanics Rocks Terrestrial Pollution Time series Waste Management/Waste Technology Waveforms Wavelet transforms Acoustic emission Autoregressive model P-wave arrival time picking Algorithm improvement
ISSN:	0960-3182, 1573-1529
Online Access:	Get full text
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