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Chen, Yiming (author), Sun, Xu (author), Xu, Liang (author), Ma, Sencai (author), Li, Jun (author), Pang, Y. (author), Cheng, Gang (author)The most common failures of belt conveyors are runout, coal piles and longitudinal tears. The detection methods for longitudinal tearing are currently not particularly effective. A key study area for minimizing longitudinal belt tears with the advancement of machine learning is how to use machine vision technology to detect foreign items on...journal article 2022
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Pang, Xiongqi (author), Jia, Chengzao (author), Zhang, Kun (author), Li, Maowen (author), Wang, Y. (author), Peng, Junwen (author), Li, Boyuan (author), Chen, Junqing (author)Fossil fuel resources are invaluable to economic growth and social development. Understanding the formation and distribution of fossil fuel resources is critical for the search and exploration of them. Until now, the vertical distribution depth of fossil fuel resources has not been confirmed due to different understandings of their origins...journal article 2020
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Li, Yong (author), Cheng, Gang (author), Chen, Xihui (author), Pang, Y. (author)As the supporting unit of rotating machinery, bearing can ensure efficient operation of the equipment. Therefore, it is very important to monitor the status of bearings accurately. A bearing fault diagnosis mothed based on Multipoint Optimal Minimum Local Mean Entropy Deconvolution Adjusted (MOMLMEDA) and Long Short-Term Memory (LSTM) is...journal article 2019