Results 61 to 70 of about 9,993 (95)

Analysis of coal gangue recognition capability based on vibration characteristics of the tail beam and experimental study on coal gangue recognition in fully mechanized top coal caving

International Journal of Coal Preparation and Utilization, 2023
With the progress of control and communication technology, coal mining is gradually transformed and upgraded from traditional mechanism to automation, the concept of intelligent mining in fully mechanized caving is also put forward in the mining ...
Yang Yang, Zeng Qingliang, Zhang Qiang
semanticscholar   +1 more source

A novel coal-gangue recognition method in underground coal mine based on image processing

International Journal of Coal Preparation and Utilization, 2023
This study proposes a coal-gangue recognition method based on Retinex and extreme learning machine. The traditional Retinex has many limitations, including halo artifacts, excessive enhancement, and noise amplification in dark areas.
Honglin Wu, Zhongbin Wang, Lei Si, Bin Liang, Dong Wei   +4 more
semanticscholar   +1 more source

Coal gangue recognition using multichannel auditory spectrogram of hydraulic support sound in convolutional neural network

Measurement science and technology, 2021
Many data-driven coal gangue recognition (CGR) methods based on the vibration or sound of collapsed coal and gangue have been proposed to achieve automatic CGR, which is important for realizing intelligent top-coal caving.
Xu Chen, Shibo Wang, Houguang Liu, Jianhua Yang, Songyong Liu, Wenbo Wang   +5 more
semanticscholar   +1 more source

Controlling water temperature for efficient coal/gangue recognition

Materials Today Chemistry, 2021
Coal and gangue (black-gray solid wastes in coal) recognition is vital to avoid waste of resources and pollution of the environment during the coal production. Considering their color/temperature is very close to each other, the traditional visible image
Jin-wang Zhang, Geng He, Shengli Yang
semanticscholar   +1 more source

Collector-assisted efficient coal/gangue recognition based on liquid intervention in longwall top coal caving

International Journal of Coal Preparation and Utilization, 2022
Efficient coal/gangue recognition is vital to improve the top coal recovery in thick seam mining with the longwall top coal caving method. Gangue is a gray-black rock mixed into the top coal flow during the drawing process.
Jin-wang Zhang, Fengchen Wang, Weijie Wei   +2 more
semanticscholar   +1 more source

Cross-condition domain adaptation for coal-gangue recognition with transfer learning and Mel spectrograms

Engineering Research Express
In order to enhance the performance of coal-gangue recognition (CGR) under longwall top coal caving (LTCC) mining conditions and solve the problem of data acquisition difficulties and limited data information, a cross-condition domain adaptation transfer
Xinyu Cheng, Ningguang Yao, Shanguo Yang, Zheng Yang, Bo Zhang, Houguang Liu   +5 more
semanticscholar   +1 more source

Coal Gangue Recognition Algorithm Based on Improved YOLOv5

2021 IEEE 2nd International Conference on Information Technology, Big Data and Artificial Intelligence (ICIBA), 2021
Coal gangue sorting is an important part of the construction of smart mines. At present, coal gangue identification and detection algorithms are mostly based on laboratory simulations for testing.
Fangjun Gui, Shunjia Yu, Hailan Zhang, Hongda Zhu   +3 more
semanticscholar   +1 more source

Coal-Gangue Recognition Method for Top-Coal Caving Based on Improved ACGAN and PCSA-MobileNetV3

IEEE Transactions on Instrumentation and Measurement
At the top-coal caving face, accurately and quickly identifying the content of coal and gangue is an important prerequisite for intelligent and efficient mining.
J. Dai, Lei Si, Jiahao Li, Zhongbing Wang, Dong Wei, Jinheng Gu, Xin Li, Yang Liu   +7 more
semanticscholar   +1 more source

Research on coal gangue recognition of GF-5 hyperspectral image

Applied Optics and Photonics China, 2021
Coal gangue is one of the main pollution sources in coal mining area, which can cause air, water, land and vegetation pollution. Therefore, in order to protect the ecological environment, coal gangue is usually buried underground.
Xinfeng Dong, Na Li, F. Gan, Jin-zhong Yang, W. Yao   +4 more
semanticscholar   +1 more source

Coal-Gangue Recognition Method Based on TF-MobileNetV4

Cybersecurity and Cyberforensics Conference
As coal remains a primary energy source in China, efficient recognition methods are crucial, especially given the challenges posed by manual observation of gangue ratio in noisy mining environments.
Jiahao Li, Lei Si, Zhongbing Wang
semanticscholar   +1 more source