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微腔阵列表面的液滴浸润及蒸发特性研究 学位论文
博士论文,北京: 中国科学院大学, 2022
Authors:  徐文帅
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微腔表面  液滴浸润  气液界面分析  唯象模型  蒸发沉积  
Reinforcement effect of polypropylene fiber on dynamic properties of cemented tailings backfill under SHPB impact loading 期刊论文
CONSTRUCTION AND BUILDING MATERIALS, 2021, 卷号: 279, 页码: 11
Authors:  Xue Gaili;  Yilmaz Erol;  Feng Guorui;  Cao Shuai;  Sun LJ(孙立娟)
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Cemented tailings backfill  Fiber reinforcement  Waveform properties  Dynamic strength  Failure mode  
基于CDEM的采空区稳定性及临界顶板厚度分析 期刊论文
金属矿山, 2021, 期号: 05, 页码: 50-55
Authors:  王永增;  王心泉;  王润;  冯春;  曹洋;  孟磊磊;  吴恩泽
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采空区  顶板厚度  量纲分析  数值模拟  
Multi-branch convolutional neural network with generalized shaft orbit for fault diagnosis of active magnetic bearing-rotor system 期刊论文
MEASUREMENT, 2021, 卷号: 171, 页码: 11
Authors:  Yan Xunshi;  Zhang CA(张陈安);  Liu Y(刘洋)
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Fault diagnosis  Convolutional neural network  Active magnetic bearing  Multi-sensor fusion  Shaft orbit  
基于人工智能负载估计系统的磁浮列车垂向振动主动控制 期刊论文
同济大学学报(自然科学版), 2020, 卷号: 48, 期号: 09, 页码: 1344-1352
Authors:  陈琛;  徐俊起;  倪菲;  林国斌;  吴晗
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磁浮列车  悬浮系统非线性模型  人工神经网络  负载估计  主动控制  
Identifying the comprehensive pore structure characteristics of a rock from 3D images 期刊论文
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2020, 卷号: 187, 页码: 16
Authors:  Xu ZP(徐志朋);  Lin M(林缅);  Jiang WB(江文滨);  Cao GH(曹高辉);  Yi ZX(易智星)
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Pore structure characterization  Geometric parameters  Topological parameters  X-ray CT image  Pore throat identification  
基于测井曲线无量纲交会法的致密砂岩储层“甜点”识别及预测 期刊论文
北京大学学报(自然科学版), 2020, 卷号: 56, 期号: 02, 页码: 262-270
Authors:  郭春安;  关平;  师永民;  杜书恒
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鄂尔多斯盆地  致密砂岩储层  无量纲交会法  “甜点”预测  储层分类评价  
Innovation fields for sustainable development of wind power 图书章节
2020
Authors:  Li JC(李家春);  He DX(贺德馨)
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Strategies of sustainable development in China's wind power industry 专著
Beijing;Singapore:Science Press; Springer, 2020
Authors:  Li JC(李家春);  He DX(贺德馨)
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An Ensemble Convolutional Neural Networks for Bearing Fault Diagnosis Using Multi-Sensor Data 期刊论文
Sensors, 2019, 卷号: 19, 期号: 23, 页码: 5300
Authors:  Liu Y(刘洋);  Yan XS;  Zhang CA(张陈安);  Liu W(刘文)
View  |  Adobe PDF(2531Kb)  |  Favorite  |  View/Download:344/78  |  Submit date:2020/01/02
Rotating Machinery  Fault Diagnosis  Multi-sensor Fusion  Convolutional Neural Network  Ensemble Model