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[1]Fault diagnosis of multi-state gas monitoring network based on fuzzy Bayesian net[J].Personal and Ubiquitous Computing,23(3):573-581
[2]刘仕强,曾蓝雁,Xiangong Li.考虑碳排放的弹性煤炭供应链网络设计模型,2023,2023年01期:34-43,10
[3]林昭云,刘仕强,Xiangong Li.露天矿生产和运输设备管理研究进展,2022,2022年12期:192-199,8
[4]Xiangong Li,wuzhuwu,张春蕾,sunzhihua,yuanling.基于关联规则的实验室事故分析,2022,2022年10期:218-221,4
[5]Xiangong Li,Zhang, Yuzhi,Wang, Fuqi,Sun, Song.A Fault Diagnosis Method of Rolling Bearing Based on Wavelet Packet Analysis and Deep Forest,2022,卷: 14期: 2
[6]Wei, Yixi,Xiangong Li,Lv, ZhiQiang,Zhai, Wenrui.Underground Mine Flood Accidents Bayesian Network Learning and Inference,2021,v 2021,n July-August,p1745-1766
[7]Xiangong Li,songxuefeng,zhangminghui,唐润,刘锋.矿山安全态势预测预警研究,2021,2021年05期:35-39+111,6
[8]Xiangong Li,Zhang, Yuzhi,李煜,Zhan, Yujie,Yang, Lin.Health State Prediction and Performance Evaluation of Belt Conveyor Based on Dynamic Bayesian Network in Underground Mining,2021,卷: 2021
[9]翟文睿,Xiangong Li,王佳奇,丁炜凯.采煤机性能退化评估方法及应用研究,2020,:57-63+100,8
[10]王珏,李昱,Xiangong Li.基于关联规则的矿工不安全行为分析,2020,2020年11期:290-294,5
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