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Updated: Jun 21, 2025

A Uniaxial Compression Experiment with CO2-Bearing Coal Using a Visualized and Constant-Volume Gas-Solid Coupling Test System
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使用机器学习来评估煤炭地质化学数据与动态故障有关的数据

David R Hanson1, Heather E Lawson1

  • 1CDC NIOSH Spokane Mining Research Division, Spokane, WA 99207, USA.

Minerals (Basel, Switzerland)
|July 16, 2024
PubMed
概括

机器学习模型可以使用地化学数据预测煤矿采矿中的动态故障事件. 这项研究通过确定动态故障概率评估的关键地化学标记来提高安全性.

关键词:
撞撞撞撞撞撞撞撞撞撞撞撞撞撞撞撞撞撞撞撞撞撞爆发 爆发 爆发 爆发煤炭是一种煤炭.动态故障的故障机器学习是机器学习.

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相关概念视频

Survival Tree01:19

Survival Tree

Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a...
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