Results 51 to 60 of about 377 (163)

Radiation characteristics of natural gamma-ray from coal and gangue for recognition in top coal caving [PDF]

Scientific Reports, 2018
AbstractRecognition of coal and gangue (roof rock) is a key technology to realize fully mechanized top coal caving automated mining. This paper proposes to detect the instantaneous refuse content of drawn coal and gangue mixture during top coal caving by using natural gamma-ray technology.
Zhang, Ningbo, Liu, Changyou
openaire   +3 more sources

Failure Characteristic and Stability Control of Gob‐Side Entry Retention With Narrow Roadside Filling Wall

Energy Science &Engineering, Volume 14, Issue 4, Page 2137-2152, April 2026.
A novel collaborative control technology of gob‐side entry retention with narrow roadside filling wall is proposed, wherein anchoring end of anchor cable must penetrate the boundary line of stress peak (plastic zone). ABSTRACT Gob‐side entry retention represents a major technological innovation in the history of coal mining, offering numerous ...
Wenxu Liang, Wei Fu, Ziwen Liu
wiley   +1 more source

Research on coal gangue recognition algorithm based on HGTC-YOLOv8n model

Gong-kuang zidonghua
The existing deep learning based coal gangue recognition methods have problems in complex working conditions such as low lighting, high noise, and motion blur in coal mines, such as low precision of coal gangue recognition, easy omission of small target ...
TENG Wenxiang, WANG Cheng, FEI Shuhui
doaj   +1 more source

Accurate Identification Strategy of Coal and Gangue Using Infrared Imaging Technology Combined With Convolutional Neural Network

IEEE Access, 2022
To effectively separate coal and gangue, accurate classification is an important prerequisite. Here, a new recognition solution for coal and gangue is proposed, in which the convolutional neural network (CNN) is trained to achieve the automatically ...
Feng Hu, Kai Bian
doaj   +1 more source

Study on the Energy Evolution and Stability of Roadway Surrounding Rock Under the “Simultaneous Mining–Driving” Condition

Energy Science &Engineering, Volume 14, Issue 4, Page 2225-2247, April 2026.
Based on theoretical analysis, the energy‐evolution behavior of the surrounding rock at various depths on the solid‐coal side of the 221303 material roadway during the “advancing‐toward‐mining” process was first clarified. Numerical simulations were then performed to validate and elaborate on the theoretical results.
Wei Zhang, Peilin Gong, Kang Yi, Guang Wen, Libin Bai, Lizhu Liu, Chen Gong, Peng Li   +7 more
wiley   +1 more source

Failure mechanism of the coal wall at the working face based on an eccentric compression mechanical model

Deep Underground Science and Engineering, Volume 5, Issue 1, Page 127-143, March 2026.
In this study, the nonuniform distribution of the bearing pressure in front of the coal wall has been revealed based on in situ monitoring data and numerical simulation results. Therefore, an eccentric compression mechanical model of the coal wall was established to study the deformation and failure characteristics of a coal wall. The slenderness ratio
Maolin Tian, Jiabao Wang, Changsheng Wang, Shijie Sun, Lijun Han, Qingbin Meng, Sunhao Zhang   +6 more
wiley   +1 more source

Extraction method of texture feature of images of coal and gangue

Gong-kuang zidonghua, 2017
In view of problems of less extraction feature parameters and low recognition precision existed in image processing methods of coal and gangue, an extraction method of texture feature of images of coal and gangue fused with local binary pattern and gray ...
MI Qiang, XU Yan, LIU Bin, XU Yunjie
doaj   +1 more source

A study on Mechanical Seepage Characteristics of Coal‐Rock Mass Under the Combined Action of Multiple Factors

Safety Science and Technology, Volume 1, Issue 1, March 2026.
Schematic diagram of a triaxial fluid–solid coupling device based on the mapping function. ABSTRACT In deep coal mining, the influence of temperature–pressure coupling on the mechanical properties of coal is a crucial factor inducing dynamic disasters.
Musen Gao, Heng Ma, Xiaoqi Wang, Ke Gao
wiley   +1 more source

Improved YOLOv5 for Efficient Elimination of Unwanted Video Frames From High‐Speed Video Arrays Capturing Bat's Kinematics

Applied AI Letters, Volume 7, Issue 1, February 2026.
Deep learning pipeline developed to filter high‐speed bat flight recordings captured inside a custom flight tunnel. ABSTRACT This research aims to investigate the flying kinematics of bats, drawing inspiration from nature to benefit humans in achieving vision‐independent flights. The project uses 50 cameras mounted inside a specially designed tunnel to
D. P. Jayathunga, M. Ramashini, Juliana Zaini, R. Müller, Liyanage C. De Silva   +4 more
wiley   +1 more source

Accurate identification method of coal and gangue based on geometric feature constraints by DE-XRT

Meitan kexue jishu
The dual energy X-ray transmission identification of coal gangue still faces challenges in thickness, hardening, afterglow, and fan-shaped effects, among which the parameters for 5-150 mm wide thickness coal gangue separation fluctuate significantly and ...
Lei HE, Yongcun GUO, Ya ZHI, Shuang WANG, Deyong LI, Kun HU, Gang CHENG   +6 more
doaj   +1 more source