Since the SEM uses an inverted logic (, coal detection occurs closer to 0 than 1), the logistic function in (6) serves as a complementary coal likelihood function: (6) L ¯ (w; c, a) = 1 1 + exp (− a (w − c)), a = log e (1 − ε) / ε min {c, 1 − c} Fixing ε at, SEM is left with only one free parameter c which represents the ...
WhatsApp: +86 18203695377Support vector machine (SVM) was used to identify the coal types. The number of flame features used to build the SVM model was reduced from 20 to 12 by combining the methods of ReliefF and SVM ...
WhatsApp: +86 182036953771 Citation Explore all metrics Cite this article Abstract Large foreign object transporting by coal mine conveyor belt may lead to production safety hazards. To reduce safety accidents during coal mining, a large foreign object detection method based on machine vision is proposed in this paper.
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WhatsApp: +86 18203695377Considering that Huainan is an important coal producing area. the coalgangue and coal blocks used in the experiment were obtained from Huainan mining area [11], and 300 coal and gangues with similar sizes were selected for spectral image order to improve the accuracy of detection, not only the multispectral image data containing multiple coal blocks and gangue are collected ...
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WhatsApp: +86 18203695377In coal production, the raw coal contains a large amount of gangue, which affects the quality of coal and pollutes the environment. Separating coal and gangue can improve coal quality, save energy, and reduce consumption and make rational use of resources. The separated gangue can also be reused. Robots with computer vision technology have become current research hotspots due to simple ...
WhatsApp: +86 18203695377Industrialization has stimulated an increasing demand for coal resources. In this process, belt conveyors serve a crucial role in the coal industry [].However, belt conveyors are vulnerable to damages such as deviation, slipping, and tearing due to overload, lengthy transport distances, and foreign objects [].Realtime detection of large foreign objects on belt conveyors in coal mines and ...
WhatsApp: +86 18203695377paper, a new machine vision detection method for identifying and screening out various large foreign objects on coal firstdescribesthe significance of the detection of large foreign objects on the belt conveyor in the coal mine, builds the framework of the
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WhatsApp: +86 18203695377Belt T ear Detection for Coal Mining Conveyors Xiaoqiang Guo 1, Xinhua Liu 1, *, Hao Zhou 1,2, Rafal Stanislawski 3, Grzegorz Kr ó lczyk 4 and Zhixiong Li 4
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WhatsApp: +86 18203695377Finally, this method is used in the detection of abnormal coal flow of a coal mine scraper conveyor, and the results show that the proposed abnormal flow monitoring method can meet the accuracy and realtime requirements of coal mine abnormal alarms. ... Ren, T.; Xu, Z.; Luo, Y. The Machine Vision Measurement Module of the Modularized Flexible ...
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WhatsApp: +86 18203695377The belt conveyor is an essential piece of equipment in coal mining for coal transportation, and its stable operation is key to efficient production. Belt surface of the conveyor is vulnerable to foreign bodies which can be extremely destructive. In the past decades, much research and numerous approaches to inspect belt status have been proposed, and machine learningbased nondestructive ...
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