Results 51 to 60 of about 13,644 (204)

A method for predicting the time series of microseismic events in coal mines based on modal decomposition and deep learning

Meitan xuebao
Microseismic monitoring data plays a crucial role in predicting and warning dynamic hazards such as coal mine rockburst. Utilizing historical microseismic monitoring data to forecast the evolution characteristics of future microseismic events is an ...
Changkun QIN, Wusheng ZHAO, Haibin JIA, Weiji GAO, Yuchuan CHEN, Wanquan YU, Jizhong LIANG, Weizhong CHEN   +7 more
doaj   +1 more source

Dynamic geo‐hydrogeological monitoring‐driven situational awareness for real‐time floor water inrush risk prediction in deep mining

Deep Underground Science and Engineering, EarlyView.
The fused data extracted from the distributed monitoring system as the data basis, combined with dynamic geological data, are imported into a deep learning model. As the geological conditions of mining and excavation change, the risk of water inrush at the working face is retrieved in real time.
Yongjie Li, Huiyong Yin, Fangying Dong, Tao Wu, Chao Zhang   +4 more
wiley   +1 more source

Methods for Identifying Effective Microseismic Signals in a Strong-Noise Environment Based on the Variational Mode Decomposition and Modified Support Vector Machine Models

Applied Sciences
The environment for acquiring microseismic signals is always filled with complex noise, leading to the presence of abundant invalid signals in the collected data and greatly disturbing effective microseismic signals.
Sihongren Shen, Bo Wang, Linfeng Zeng, Sheng Chen, Liujun Xie, Zilong She, Lanying Huang   +6 more
doaj   +1 more source

Multi-Classification of Complex Microseismic Waveforms Using Convolutional Neural Network: A Case Study in Tunnel Engineering

Sensors, 2021
Due to the complexity of the various waveforms of microseismic data, there are high requirements on the automatic multi-classification of such data; an accurate classification is conducive for further signal processing and stability analysis of ...
Hang Zhang, Jun Zeng, Chunchi Ma, Tianbin Li, Yelin Deng, Tao Song   +5 more
doaj   +1 more source

Advances in vital‐sign prediction and early‐warning models for underground coal mine workers integrating environmental factors

Deep Underground Science and Engineering, EarlyView.
This review synthesizes advances in predicting miners' vital signs by integrating environmental monitoring (dust, temperature, and gas) with physiological data. It highlights multi‐source data fusion techniques and early‐warning models for enhanced occupational safety in underground coal mines.
Junji Zhu, Dawei Cui, Yingjie Liu, Yuntao Liang, Yue Zhang   +4 more
wiley   +1 more source

Automatic Waveform Classification and Arrival Picking Based on Convolutional Neural Network

Earth and Space Science, 2019
Automatic waveform classification and arrival picking methods are widely studied to reduce or replace the manual works. Machine learning based methods, especially neural networks, and clustering based methods have shown great potentials in previous ...
Yangkang Chen, Guoyin Zhang, Min Bai, Shaohuan Zu, Zhe Guan, Mi Zhang   +5 more
doaj   +1 more source

Research on the Laws of Destructive Patterns and Control Measures of Overlying Rock in High‐Efficiency Large‐Scale Mining Faces

Energy Science &Engineering, EarlyView.
With the advancement of coal mining technology driving the development of working faces toward increased mining heights and extended lengths, the enlargement of face dimensions has led to expanded overlying strata failure zones and intensified ground pressure manifestations. Consequently, traditional methods for determining hydraulic support resistance
Chen Gong, Peilin Gong, Kang Yi, Kaijie Duan, Lizhu Liu, Peng Li   +5 more
wiley   +1 more source

Parallel Processing Method for Microseismic Signal Based on Deep Neural Network

Remote Sensing, 2023
The microseismic signals released by rock mass fracture can be captured via microseismic monitoring to evaluate the development of geological disasters.
Chunchi Ma, Wenjin Yan, Weihao Xu, Tianbin Li, Xuefeng Ran, Jiangjun Wan, Ke Tong, Yu Lin   +7 more
doaj   +1 more source

Study on the Influence of Slope Static Load on Shallow Lining Support Structure

Energy Science &Engineering, EarlyView.
On the basis of the background of the shallow‐buried main adit supported by stone lining, the mechanical model of the supporting structure is constructed, and the stability of the supporting structure is analyzed by using the methods of field investigation, theoretical analysis, and numerical simulation.
Hongwei Wang, Chaofeng Yuan, Jianqiang Jiao, Jinyuan Bai   +3 more
wiley   +1 more source

Construction and application of foundational models for intelligent processing of microseismic events in mines

Meitan xuebao
Under the background of intelligent mine construction, intelligent microseismic signal processing serves as the cornerstone for precise early warning of mine dynamic disasters.
Anye CAO, Maotao LI, Xu YANG, Yao YANG, Sen LI, Yaoqi LIU, Changbin WANG   +6 more
doaj   +1 more source