Journal of Computational Methods in Sciences and Engineering, volume 17, issue 4, pages 745-756
Study on decomposition of acoustic emission signal and identification of rock mass fracture
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“Fault Deformation, Sealing and Fluid Migration” Science and Technology Innovation Team in Colleges and Universities of Heilongjiang, Daqing 163318, Heilongjiang, China
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Publication type: Journal Article
Publication date: 2017-09-01
Q4
Q4
SJR: 0.170
CiteScore: 0.8
Impact factor: 0.5
ISSN: 14727978, 18758983
Computer Science Applications
General Engineering
Computational Mathematics
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Wang T. et al. Study on decomposition of acoustic emission signal and identification of rock mass fracture // Journal of Computational Methods in Sciences and Engineering. 2017. Vol. 17. No. 4. pp. 745-756.
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Wang T., Wang T., Li T., Zhao W., Ma Y., Chen Y. Study on decomposition of acoustic emission signal and identification of rock mass fracture // Journal of Computational Methods in Sciences and Engineering. 2017. Vol. 17. No. 4. pp. 745-756.
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TY - JOUR
DO - 10.3233/jcm-170757
UR - https://doi.org/10.3233/jcm-170757
TI - Study on decomposition of acoustic emission signal and identification of rock mass fracture
T2 - Journal of Computational Methods in Sciences and Engineering
AU - Wang, Tingting
AU - Wang, Tingting
AU - Li, Tianyou
AU - Zhao, Wanchun
AU - Ma, Yunpeng
AU - Chen, Yanqiu
PY - 2017
DA - 2017/09/01
PB - IOS Press
SP - 745-756
IS - 4
VL - 17
SN - 1472-7978
SN - 1875-8983
ER -
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BibTex (up to 50 authors)
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@article{2017_Wang,
author = {Tingting Wang and Tingting Wang and Tianyou Li and Wanchun Zhao and Yunpeng Ma and Yanqiu Chen},
title = {Study on decomposition of acoustic emission signal and identification of rock mass fracture},
journal = {Journal of Computational Methods in Sciences and Engineering},
year = {2017},
volume = {17},
publisher = {IOS Press},
month = {sep},
url = {https://doi.org/10.3233/jcm-170757},
number = {4},
pages = {745--756},
doi = {10.3233/jcm-170757}
}
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MLA
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Wang, Tingting, et al. “Study on decomposition of acoustic emission signal and identification of rock mass fracture.” Journal of Computational Methods in Sciences and Engineering, vol. 17, no. 4, Sep. 2017, pp. 745-756. https://doi.org/10.3233/jcm-170757.