Results 31 to 40 of about 361 (167)

Forward simulation of electromagnetic waves in coal gangue model based on improved bidirectional peak-valley search algorithm

Gong-kuang zidonghua, 2023
Realizing automatic recognition of coal gangue content during the top coal caving process is an important goal of fully mechanized mining automation. The existing methods for automatic recognition of coal gangue content have problems such as low accuracy
SHI Xiangyu, SI Lei, WANG Zhongbin, WEI Dong, GU Jinheng   +4 more
doaj   +1 more source

Coal-gangue image recognition in fully-mechanized caving face based on random forest

Gong-kuang zidonghua, 2020
Aiming at problems of high difficulty in parameter adjustment, low prediction accuracy and easy over-fitting in present coal-gangue image recognition methods in fully-mechanized caving face, a coal-gangue image recognition method in fully mechanized ...
XUE Guanghui, LI Xiuying, QIAN Xiaoling, ZHANG Yunfei   +3 more
doaj   +1 more source

Fast recognition using convolutional neural network for the coal particle density range based on images captured under multiple light sources

International Journal of Mining Science and Technology, 2021
A method based on multiple images captured under different light sources at different incident angles was developed to recognize the coal density range in this study.
Feiyan Bai, Minqiang Fan, Hongli Yang, Lianping Dong   +3 more
doaj   +1 more source

PCViT: A Pre-Convolutional ViT Coal Gangue Identification Method

Energies, 2022
For the study of coal and gangue identification using near-infrared reflection spectroscopy, samples of anthracite coal and gangue with similar appearances were collected, and different dust concentrations (200 ug/m3, 500 ug/m3 and 800 ug/m3), detection ...
Jianjian Yang, Boshen Chang, Yuzeng Zhang, Yucheng Zhang, Wenjie Luo   +4 more
doaj   +1 more source

Design of photometric separation system for coal and gangue

Gong-kuang zidonghua, 2013
In view of requirements of underground separation and backfilling and utilization for coal and gangue, the paper proposed a design scheme of photometric separation system for coal and gangue based on laser 3D scanning and dynamic weighing.
WANG Wei-dong, ZHANG Chen, MA Zhong-liang, CAO Chun-xiao, WANG Tong-tong, ZHANG Lu-qi, REN Chun-xing, LIANG Jing   +7 more
doaj   +1 more source

Coal and gangue recognition research based on improved YOLOv5

Gong-kuang zidonghua, 2022
The existing deep learning-based coal and gangue recognition methods are prone to false detection and missed detection when applied to underground complex environments. The recognition precision of small target coal and gangue is low. In order to solve this problem, an improved YOLOv5 model is proposed, and coal and gangue recognition is realized based
ZHANG Shiru, HUANG Zongliu, ZHANG Yuanhao, ZHANG Ao, JI Liang   +4 more
openaire   +1 more source

Vibration Test of Single Coal Gangue Particle Directly Impacting the Metal Plate and the Study of Coal Gangue Recognition Based on Vibration Signal and Stacking Integration

IEEE Access, 2019
In order to realize the recognition of coal gangue in the top coal caving process, a scheme of the coal gangue recognition based on the collision vibration signal between coal gangue and the metal plate is proposed in this paper, a systematic and ...
Yang Yang, Qingliang Zeng, Guangjun Yin, Lirong Wan   +3 more
doaj   +1 more source

Research on Coal and Gangue Recognition Model Based on CAM-Hardswish with EfficientNetV2

Applied Sciences, 2023
In response to the multiscale shape of coal and gangue in actual production conditions, existing coal separation methods are inefficient in recognizing coal and gangue, causing environmental pollution and other problems.
Na Li, Jiameng Xue, Sibo Wu, Kunde Qin, Na Liu   +4 more
doaj   +1 more source

Coal gangue recognition method based on water heat transfer and infrared thermal imaging

Gong-kuang zidonghua
The coal gangue recognition method based on visible light images has low accuracy and slow recognition speed. The coal gangue recognition method based on high-energy ray transmission has significant radiation, resulting in limited application.
CHENG Gang, CHEN Jie, PAN Zeye, WEI Yifan, CHEN Sensen   +4 more
doaj   +1 more source

Fracture evolution of a thick soft protection layer and the water inrush mechanism in overburden under longwall mining

Deep Underground Science and Engineering, EarlyView.
Through shear–tensile creep tests and viscoelastic modeling, the fracture evolution of thick soft protective layers is clarified. Results show thickness‐dependent rheological failure modes that govern four types of roof water inrush, providing a mechanism‐based framework for hazard prediction and control. Abstract In the Jurassic coal‐bearing strata of
Mengnan Liu, Wei Qiao, Xianggang Cheng, Xiangsheng Meng, Peichao Feng   +4 more
wiley   +1 more source