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Helical model based on artificial neural network for large eddy simulation of compressible wall-bounded turbulent flows 期刊论文
PHYSICS OF FLUIDS, 2023, 卷号: 35, 期号: 4, 页码: 45120
Authors:  Liu, Wanhai;  Qi H(齐涵);  Shi, Haoyu;  Yu ZP(于长平);  Li XL(李新亮)
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Artificial neural network based nonlinear algebraic models for large eddy simulation of compressible wall bounded turbulence 期刊论文
JOURNAL OF FLUID MECHANICS, 2023, 卷号: 960, 页码: A4
Authors:  Xu, Dehao;  Wang, Jianchun;  Yu ZP(于长平);  Chen, Shiyi
Adobe PDF(2749Kb)  |  Favorite  |  View/Download：52/1  |  Submit date：2023/04/20
machine learning  turbulence modelling  
Kinetic-energy-flux-constrained model using an artificial neural network for large-eddy simulation of compressible wall-bounded turbulence 期刊论文
Journal of Fluid Mechanics, 2022, 卷号: 932, 页码: A23
Authors:  Yu ZP(于长平);  Yuan ZL;  Qi H(齐涵);  Wang JC;  Li XL(李新亮);  Chen SY
Adobe PDF(1504Kb)  |  Favorite  |  View/Download：246/68  |  Submit date：2022/01/06
Reconstruction model for heat release rate based on artificial neural network 期刊论文
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2021, 卷号: 46, 期号: 37, 页码: 19599-19616
Authors:  Li B(李波);  Yao W(姚卫);  Li YC(李亚超);  Fan XJ(范学军)
Adobe PDF(5169Kb)  |  Favorite  |  View/Download：125/34  |  Submit date：2022/10/25
Heat release rate (HRR)  Artificial neural network (ANN)  Proper orthogonal -12omposition (POD)  Chemiluminescence  Supersonic hydrogen flame  
Prediction and evaluation of plasma arc reforming of naphthalene using a hybrid machine learning model 期刊论文
JOURNAL OF HAZARDOUS MATERIALS, 2021, 卷号: 404, 页码: 10
Authors:  Wang, Yaolin;  Liao, Zinan;  Mathieu, Stephanie;  Bin F(宾峰);  Tu, Xin
Adobe PDF(7145Kb)  |  Favorite  |  View/Download：323/109  |  Submit date：2021/03/03
Machine learning  Non-thermal plasma  Biomass gasification  Tar reforming  Naphthalene  
Effects of Macroparameters on the Thickness of an Interfacial Nanolayer of Al2O3- and TiO2-Water-Based Nanofluids 期刊论文
ACS OMEGA, 2020, 卷号: 5, 期号: 43, 页码: 27972-27977
Authors:  Fan WH(范文慧);  Zhong FQ(仲峰泉)
Adobe PDF(1686Kb)  |  Favorite  |  View/Download：202/68  |  Submit date：2020/12/28
Development and application of ANN model for property prediction of supercritical kerosene 期刊论文
Computers and Fluids, 2020, 卷号: 209, 期号: 2020, 页码: 1-18
Authors:  Li B(李波);  Lee YC(李亚超);  Yao W(姚卫);  Fan XJ(范学军)
View  |  Adobe PDF(10546Kb)  |  Favorite  |  View/Download：349/124  |  Submit date：2020/08/27
Artificial Neural Network (Ann)  Principle Of Extended Corresponding State (Ecs)  Rp-3 Kerosene  Superitical Pressure  Openfoam  
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：347/79  |  Submit date：2020/01/02
Rotating Machinery  Fault Diagnosis  Multi-sensor Fusion  Convolutional Neural Network  Ensemble Model  
Fault Diagnosis of Active Magnetic Bearing-Rotor System via Vibration Images 期刊论文
SENSORS, 2019, 卷号: 19, 期号: 2, 页码: AR244
Authors:  Yan XS;  Sun Z;  Zhao JJ;  Shi ZG;  Zhang CA(张陈安)
View  |  Adobe PDF(2441Kb)  |  Favorite  |  View/Download：265/86  |  Submit date：2019/04/11
fault diagnosis  vibration signals  active magnetic bearing  rotary machinery  AdaBoost  
Adaptive space transformation: An invariant based method for predicting aerodynamic coefficients of hypersonic vehicles 期刊论文
Engineering Applications of Artificial Intelligence, 2015, 卷号: 46, 页码: 93-103
Authors:  Luo CT(罗长童);  Hu ZM(胡宗民);  Zhang SL;  Jiang ZL(姜宗林);  Luo, CT (reprint author), Chinese Acad Sci, Inst Mech, Beijing 100190, Peoples R China.
View  |  Adobe PDF(1001Kb)  |  Favorite  |  View/Download：351/120  |  Submit date：2016/01/07
Aerodynamic Coefficient  Data Correlation  Scaling Parameter  Genetic Programming  Invariant