Research on evolution characteristics and correlation relationship of microseismic multidimensional information in mining process
Microseismic monitoring technology plays a critical role in predicting rockbursts in coal mines, yet the deeper potential embedded in microseismic data remains insufficiently explored. This study investigates the evolution characteristics of microseismic signals across four key dimensions—time, ener...
Saved in:
| Main Authors: | Chao Guo, Haotian Li, Jiang Sun |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-06-01
|
| Series: | Frontiers in Earth Science |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/feart.2025.1612720/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Dynamic evolution characteristics and risk assessment of floor microseismic in close repeated mining
by: Jing JIA, et al.
Published: (2025-07-01) -
VMD-SE-CEEMDAN-BO-CNNGRU: A Dual-Stage Mode Decomposition Hybrid Deep Learning Model for Microseismic Time Series Prediction
by: Mingyi Cui, et al.
Published: (2025-06-01) -
Microseismic activity and subsurface structural characteristic of the Laohutai coal mine in Northeast China based on a linear dense seismic array
by: Qinghan Kong, et al.
Published: (2025-04-01) -
The role of advance rate in mining-induced stress and microseismic behavior during longwall face advance
by: Jiaxin Zhuang, et al.
Published: (2025-12-01) -
Microseismic voltage evolution of composite coal rock under load deformation failure
by: Xin LI, et al.
Published: (2025-02-01)