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Xiaowei Li
Researcher at China University of Mining and Technology
Publications - 44
Citations - 709
Xiaowei Li is an academic researcher from China University of Mining and Technology. The author has contributed to research in topics: Coal & Coal mining. The author has an hindex of 12, co-authored 41 publications receiving 493 citations.
Papers
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Patent
Low-resistance high-heat-capacity twist drill rod and using method
Yujia Chen,Li Ao,Zhang Chaojie,Tang Jun,Jiang Xu,Xiaowei Li,Dingding Yang,Wang Chaojie,Chenglin Jiang +8 more
TL;DR: In this paper, a low-resistance high-heat capacity twist drill rod and a using method was described, where the drill rod comprises a steel pipe and a spiral steel belt, and the hollow interior of the steel pipe is blocked to form a water storage space.
Patent
Quick pressure relief gas discharge method for exposing extra thick and soft projecting coal seam in vertical shaft
Xiaowei Li,Tang Jun,Yujia Chen,Chenglin Jiang,Wang Chaojie,Pan Xingfeng,Kong Zhuoyi,Chen Zixian,Zhou Zhen,Liao Xiaoxue,Gao Guangqiang +10 more
TL;DR: In this article, a quick pressure relief gas discharge method for exposing an extra thick and soft projecting coal seam in a vertical shaft, comprising the following steps: designing drainage drill holes in several circles along a shaft excavation work surface contour.
Patent
Repeatable hole digging gas extraction method for down-hole high-stress soft coal seam
Xiaowei Li,Tang Jun,Yujia Chen,Chenglin Jiang,Wang Chaojie,Chen Zixian,Kong Zhuoyi,Zhou Zhen,Liao Xiaoxue +8 more
TL;DR: In this article, a repeatable hole-digging gas extraction method for a down-hole high-stress soft coal seam is described. But the method is not suitable for coal seams with a high-pressure valve.
Journal ArticleDOI
Sound Recognition Method of Coal Mine Gas and Coal Dust Explosion Based on GoogLeNet
Xingchen Yu,Xiaowei Li +1 more
TL;DR: Wang et al. as discussed by the authors proposed a sound recognition method of coal mine gas and coal dust explosion based on GoogLeNet, which can effectively solve the problem of under-sampling and low leakage rate.