[HTML][HTML] Machine learning methods for rockburst prediction-state-of-the-art review
One of the most serious mining disasters in underground mines is rockburst phenomena.
They can lead to injuries and even fatalities as well as damage to underground openings …
They can lead to injuries and even fatalities as well as damage to underground openings …
A comprehensive review of intelligent machine learning based predicting methods in long-term and short-term rock burst prediction
PMS Basnet, S Mahtab, A Jin - Tunnelling and Underground Space …, 2023 - Elsevier
Rockburst is a geological hazard frequently encountered in deep underground engineering
projects that threaten workers' safety and causes damage to an excavation. The occurrence …
projects that threaten workers' safety and causes damage to an excavation. The occurrence …
A fuzzy comprehensive evaluation methodology for rock burst forecasting using microseismic monitoring
Rock bursts have become one of the most severe risks in underground coal mining and its
forecasting is an important component in the safety management. Subsurface microseismic …
forecasting is an important component in the safety management. Subsurface microseismic …
Rockburst prediction in kimberlite with unsupervised learning method and support vector classifier
One of the most serious types of mining disasters in many countries, rockburst leads to
injuries, deaths, and damages to facilities, which explains the need to study its prediction …
injuries, deaths, and damages to facilities, which explains the need to study its prediction …
Using machine learning approach for microseismic events recognition in underground excavations: Comparison of ten frequently-used models
Correctly distinguishing microseismic and blasting events in underground excavations is
fundamental to subsequent geophysical analysis activities such as rock burst early warning …
fundamental to subsequent geophysical analysis activities such as rock burst early warning …
Integrated rockburst early warning model based on fuzzy comprehensive evaluation method
The development of reliable early rockburst warning models for underground mines is a
challenging task considering the complex nature of rockburst phenomena. In this paper, a …
challenging task considering the complex nature of rockburst phenomena. In this paper, a …
Rock-burst occurrence prediction based on optimized Naïve Bayes models
Rock-burst is a common failure in hard rock related projects in civil and mining construction
and therefore, proper classification and prediction of this phenomenon is of interest. This …
and therefore, proper classification and prediction of this phenomenon is of interest. This …
[HTML][HTML] Rockburst prediction in kimberlite using decision tree with incomplete data
A rockburst is a common engineering geological hazard. In order to predict rockburst
potential in kimberlite at an underground diamond mine, a decision tree method was …
potential in kimberlite at an underground diamond mine, a decision tree method was …
Prediction and assessment of rock burst using various meta-heuristic approaches
One of the utmost severe mining catastrophes in underground hard rock mines is rock burst
phenomena. It can lead to damage to mine openings and equipment as well as trigger …
phenomena. It can lead to damage to mine openings and equipment as well as trigger …
Predicting rockbursts in deep tunnels based on ejection velocity and kinetic energy measurements using advanced machine learning
A Mahmoodzadeh, N Ghazouani… - Automation in …, 2024 - Elsevier
Accurately predicting rockburst in deep tunnels is paramount, as it ensures the utmost safety,
minimizes costs and delays, and optimizes design and construction processes. In this paper …
minimizes costs and delays, and optimizes design and construction processes. In this paper …