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Wheel Wear Prediction of High-Speed Train Using NAR and BP Neural Networks 会议论文
EEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), Exeter, ENGLAND, JUN 21-23, 2017
Authors:  Fan N;  Wang SW;  Liu CX;  Liu XM(刘小明)
View  |  Adobe PDF(753Kb)  |  Favorite  |  View/Download:82/24  |  Submit date:2018/06/06
Big Data  Wheel Wear  Variance Analysis  Nar Neural Network  Prediction  
A Simple Model for Predicting the Two-Phase Heavy Crude Oil Horizontal Flow with Low Gas Fraction 期刊论文
CHEMICAL ENGINEERING COMMUNICATIONS, 2016, 卷号: 203, 期号: 9, 页码: 1131-1138
Authors:  Chen XP(陈小平);  Xu JY(许晶禹);  Zhang J(张健);  Xu, JY (reprint author), Chinese Acad Sci, Inst Mech, Key Lab Mech Fluid Solid Coupling Syst, Beijing 100190, Peoples R China.
View  |  Adobe PDF(698Kb)  |  Favorite  |  View/Download:332/31  |  Submit date:2016/06/02
Drift-flux Model  Gas-liquid Flow  Heavy Crude Oil  Pressure Gradient  Viscosity  Void Fraction