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Research on coal gangue recognition method based on XBS-YOLOv5s
Measurement Science and Technology, 2023Abstract Aiming at the problems of misdetection, omission and low recognition accuracy of coal gangue recognition due to the harsh environmental factors such as low illumination, motion blur and large quantities of coal gangue mixing in coal mines, a coal gangue recognition method based on XBS-YOLOv5s is proposed.
Yuhao Yang +6 more
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Coal Gangue Interface Recognition Based on MFCC Research
Applied Mechanics and Materials, 2013In view of the existing coal gangue interface identification technology use ray method that it is not applicable to the working face what it dose not contain radioactive elements in the roof or contain low amounts of radioactive elements, and the detection range of radar detection is lesser, the signal attenuation is relatively serious, so putting ...
Ai Xiang He +2 more
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Coal-Gangue Acoustic Signal Recognition Based on Sparse Representation
Applied Mechanics and Materials, 2013Our country has rich coal resources. Further research is great significant to realize the automation of top coal caving mining technology. This paper presents a new method based on sparse representation for coal and gangue signal recognition. To solve the mining noise problem, the wavelet analysis is used to filter and de-noising. Sparse representation
Ai Xiang He, Nan Liu, Guang Fei Wei
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A fast recognition method for coal gangue image processing
Multimedia Systems, 2023Dailiang Wei +6 more
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Coal Gangue Recognition Algorithm Based on Improved YOLOv5
2021 IEEE 2nd International Conference on Information Technology, Big Data and Artificial Intelligence (ICIBA), 2021Fangjun Gui +3 more
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Underground coal gangue recognition based on composite fusion of feature and decision
Measurement Science and TechnologyAbstract The underground coal gangue separation and in-situ filling can reduce environmental pollution, promote the recycling of resources, and ensure the safe operation of mining. However, the harsh environment and abnormal working conditions are a significant challenge to the separation technology. Therefore, it is essential to develop
Xiaoyu Li +9 more
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Research on coal gangue recognition of GF-5 hyperspectral image
AOPC 2021: Optical Spectroscopy and Imaging, 2021Xinfeng Dong +4 more
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An efficient method for recognition of coal/gangue with thermal imaging technique
International Journal of Coal Preparation and Utilization, 2022Yanxin Zhang, Yourui Tao, Shanhu Li
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Preparation and pattern recognition of O′-sialon by reduction–nitridation from coal gangue
Materials Science and Engineering: A, 2004Abstract The phase composition and microstructure of O′-sialon prepared from Chinese coal gangue have been studied. The use of Si powder is more effective than that of activated carbon or mainly carbon with a little silicon for reduction–nitridation. For specimens with 40% Si addition, more than 80% of O′-sialon may be obtained when nitrided at 1500 °
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Journal of Computational Methods in Sciences and Engineering
In order to solve the problem of real-time and accurate recognition of coal gangue in the intelligent separation system of coal gangue, an online visual recognition algorithm of coal gangue based on BLOB analysis and machine learning is proposed. It filters the easily recognized gangue or coal by triple filter model with small calculation, which only ...
Zuming Li, Huadong Zou
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In order to solve the problem of real-time and accurate recognition of coal gangue in the intelligent separation system of coal gangue, an online visual recognition algorithm of coal gangue based on BLOB analysis and machine learning is proposed. It filters the easily recognized gangue or coal by triple filter model with small calculation, which only ...
Zuming Li, Huadong Zou
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