Cargando…
Risk Prediction of Coal and Gas Outburst in Deep Coal Mines Based on the SAPSO-ELM Algorithm
Effective risk prevention and management in deep coal mines can reduce the occurrences of outburst accidents and casualties. To address the low accuracy and inefficiency of coal–gas outburst prediction in deep coal mines, this study proposes a deep coal–gas outburst risk prediction method based on k...
Autores principales: | Yang, Li, Fang, Xin, Wang, Xue, Li, Shanshan, Zhu, Junqi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9566325/ https://www.ncbi.nlm.nih.gov/pubmed/36231681 http://dx.doi.org/10.3390/ijerph191912382 |
Ejemplares similares
-
Risk Assessment of Deep Coal and Gas Outbursts Based on IQPSO-SVM
por: Zhu, Junqi, et al.
Publicado: (2022) -
Research on Temperature Variation during Coal and Gas Outbursts: Implications for Outburst Prediction in Coal Mines
por: Zhang, Chaolin, et al.
Publicado: (2020) -
High-Energy Ejection of Molecules and Gas-Dust Outbursts in Coal Mines
por: Kaim, Sergii D.
Publicado: (2021) -
Failure Mechanism of Gas-Bearing Coal during Outburst
and a New Method for Outburst Prediction
por: Li, Chengwu, et al.
Publicado: (2021) -
Investigation of coal and gas outburst risk by microseismic monitoring
por: Wang, Anhu, et al.
Publicado: (2019)