Multi-step prediction of coal mine adit deformation based on time convolutional long short-term memory

Multi-step prediction of coal mine adit deformation based on time convolutional long short-term memory

Coal main adit is susceptibility to external factors, so it is crucial to monitor and predict its deformation. Based on the application of fiber optic monitoring for adit deformation, A multi-step prediction model is proposed which is built with Ensemble Empirical Mode Decomposition (EEMD) integrate...

Full description

Saved in:
Bibliographic Details
Main Authors: Wenli JI, Xin DAN, Chenyang MA, Jing CHAI, Yuyi WU, Fengqi QIU, Wentao LIU, Wulin LEI, Yongliang LIU
Format: Article
Language:zho
Published: Editorial Department of Coal Science and Technology 2025-04-01
Series:Meitan kexue jishu
Subjects:
adit deformation
multi-step prediction
tcn-lstm prediction model
ensemble empirical mode decomposition
coal mine intelligence
Online Access:http://www.mtkxjs.com.cn/article/doi/10.12438/cst.2023-1480
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items