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A. ARAB, Ma. R. BANAN, Mo. R. BANAN, S. FARHADI
《结构与土木工程前沿(英文)》 2018年 第12卷 第1期 页码 3-15 doi: 10.1007/s11709-017-0418-6
关键词: RC wall hysteretic measures RC wall design parameters empirical relations numerical simulations RC rectangular wall plastic hinge
Dynamic characteristics and improved MPPT control of PV generator
Houda BRAHMI, Rachid DHIFAOUI
《能源前沿(英文)》 2013年 第7卷 第3期 页码 342-350 doi: 10.1007/s11708-013-0242-1
关键词: modeling of photovoltaic (PV) generator maximum power point tracking (MPPT) estimation parameters real time controller
Houfa Wu,Jianyun Zhang,Zhenxin Bao,Guoqing Wang,Wensheng Wang,Yanqing Yang,Jie Wang
《工程(英文)》 doi: 10.1016/j.eng.2021.12.014
Model parameters estimation is a pivotal issue for runoff modeling in ungauged catchments. The nonlinear relationship between model parameters and catchment descriptors is a major obstacle for parameter regionalization, which is the most widely used approach. Runoff modeling was studied in 38 catchments located in the Yellow–Huai–Hai River Basin (YHHRB). The values of the Nash–Sutcliffe efficiency coefficient (NSE), coefficient of determination (R2), and percent bias (PBIAS) indicated the acceptable performance of the soil and water assessment tool (SWAT) model in the YHHRB. Nine descriptors belonging to the categories of climate, soil, vegetation, and topography were used to express the catchment characteristics related to the hydrological processes. The quantitative relationships between the parameters of the SWAT model and the catchment descriptors were analyzed by six regression-based models, including linear regression (LR) equations, support vector regression (SVR), random forest (RF), k-nearest neighbor (kNN), decision tree (DT), and radial basis function (RBF). Each of the 38 catchments was assumed to be an ungauged catchment in turn. Then, the parameters in each target catchment were estimated by the constructed regression models based on the remaining 37 donor catchments. Furthermore, the similarity-based regionalization scheme was used for comparison with the regression-based approach. The results indicated that the runoff with the highest accuracy was modeled by the SVR-based scheme in ungauged catchments. Compared with the traditional LR-based approach, the accuracy of the runoff modeling in ungauged catchments was improved by the machine learning algorithms because of the outstanding capability to deal with nonlinear relationships. The performances of different approaches were similar in humid regions, while the advantages of the machine learning techniques were more evident in arid regions. When the study area contained nested catchments, the best result was calculated with the similarity-based parameter regionalization scheme because of the high catchment density and short spatial distance. The new findings could improve flood forecasting and water resources planning in regions that lack observed data.
关键词: Parameters estimation Ungauged catchments Regionalization scheme Machine learning algorithms Soil and water assessment tool model
Bayes estimation of residual life by fusing multisource information
Qian ZHAO, Xiang JIA, Zhi-jun CHENG, Bo GUO
《工程管理前沿(英文)》 2018年 第5卷 第4期 页码 524-532 doi: 10.15302/J-FEM-2018034
Residual life estimation is essential for reliability engineering. Traditional methods may experience difficulties in estimating the residual life of products with high reliability, long life, and small sample. The Bayes model provides a feasible solution and can be a useful tool for fusing multisource information. In this study, a Bayes model is proposed to estimate the residual life of products by fusing expert knowledge, degradation data, and lifetime data. The linear Wiener process is used to model degradation data, whereas lifetime data are described via the inverse Gaussian distribution. Therefore, the joint maximum likelihood (ML) function can be obtained by combining lifetime and degradation data. Expert knowledge is used according to the maximum entropy method to determine the prior distributions of parameters, thereby making this work different from existing studies that use non-informative prior. The discussion and analysis of different types of expert knowledge also distinguish our research from others. Expert knowledge can be classified into three categories according to practical engineering. Methods for determining prior distribution by using the aforementioned three types of data are presented. The Markov chain Monte Carlo is applied to obtain samples of the parameters and to estimate the residual life of products due to the complexity of the joint ML function and the posterior distribution of parameters. Finally, a numerical example is presented. The effectiveness and practicability of the proposed method are validated by comparing it with residual life estimation that uses non-informative prior. Then, its accuracy and correctness are proven via simulation experiments.
关键词: residual life estimation Bayes model linear Wiener process
L. RAMESH, N. CHAKRABORTY, S. P. CHOWDHURY
《能源前沿(英文)》 2012年 第6卷 第1期 页码 47-56 doi: 10.1007/s11708-011-0159-5
关键词: artificial intelligence power distribution control state estimation
Impact of anthropogenic heat emissions on meteorological parameters and air quality in Beijing using
《环境科学与工程前沿(英文)》 2022年 第16卷 第4期 doi: 10.1007/s11783-021-1478-3
The Large scale Urban Consumption of energ Y model was updated and coupled with WRF.
关键词: Anthropogenic heat emissions LUCY High-resolution Meteorological parameters Air quality
Jiangbo WANG, Zhong XIN
《化学科学与工程前沿(英文)》 2009年 第3卷 第2期 页码 167-171 doi: 10.1007/s11705-009-0006-y
关键词: polycarbonate polymethylphenylsilsesquioxane thermal degradation kinetics activation energy lifetime
Inverse identification of the mechanical parameters of a pipeline hoop and analysis of the effect of
Ye GAO, Wei SUN
《机械工程前沿(英文)》 2019年 第14卷 第3期 页码 358-368 doi: 10.1007/s11465-019-0539-9
关键词: inverse identification pipeline hoop frequency response function mechanical parameters preload
An operating state estimation model for integrated energy systems based on distributed solution
Dengji ZHOU, Shixi MA, Dawen HUANG, Huisheng ZHANG, Shilie WENG
《能源前沿(英文)》 2020年 第14卷 第4期 页码 801-816 doi: 10.1007/s11708-020-0687-y
关键词: integrated energy system state estimation electricity-gas coupling energy system nonlinear coupling distributed solution
Effect of thermodynamic parameters on the performance of refrigerator-ejector
Lihong CAO, Yicai LIU, Chao WAN, Tianlong XIN, Qian HUANG, Mingyan ZHANG
《能源前沿(英文)》 2010年 第4卷 第4期 页码 517-521 doi: 10.1007/s11708-010-0004-2
关键词: refrigerator-ejector FLUENT thermodynamic parameters entrainment ratio performance
Stable expression and control parameters in the numerical simulation of unsaturated flow
《结构与土木工程前沿(英文)》 页码 1501-1514 doi: 10.1007/s11709-022-0893-2
关键词: Richards’ equation sensitivity analysis unsaturated soil hydraulic diffusivity seepage simulation
Effects of critical geometric parameters on the optical performance of a conical cavity receiver
Hu XIAO, Yanping ZHANG, Cong YOU, Chongzhe ZOU, Quentin FALCOZ
《能源前沿(英文)》 2019年 第13卷 第4期 页码 673-683 doi: 10.1007/s11708-019-0630-2
关键词: parabolic collector conical cavity receiver critical geometric parameters optical performance
Effect of preparation parameters on catalytic properties of Pt/graphite
LIU Zhengqian, MA Jun, ZHAO Lei
《环境科学与工程前沿(英文)》 2007年 第1卷 第4期 页码 482-487 doi: 10.1007/s11783-007-0077-2
Investigation of the parameters affecting the behavior of RC beams strengthened with FRP
《结构与土木工程前沿(英文)》 页码 729-743 doi: 10.1007/s11709-022-0854-9
关键词: carbon glass strengthening shear strength reinforced concrete beam fiber reinforced polymer
The influence of manufacturing parameters and adding support layer on the properties of Zirfon
Li XU,Yue YU,Wei LI,Yan YOU,Wei XU,Shaoxing ZHANG
《化学科学与工程前沿(英文)》 2014年 第8卷 第3期 页码 295-305 doi: 10.1007/s11705-014-1433-y
关键词: separator alkaline water electrolysis manufacturing parameters support layer
标题 作者 时间 类型 操作
Estimation of relations among hysteretic response measures and design parameters for RC rectangular shear
A. ARAB, Ma. R. BANAN, Mo. R. BANAN, S. FARHADI
期刊论文
Dynamic characteristics and improved MPPT control of PV generator
Houda BRAHMI, Rachid DHIFAOUI
期刊论文
Runoff Modeling in Ungauged Catchments Using Machine Learning Algorithm-Based Model Parameters Regionalization
Houfa Wu,Jianyun Zhang,Zhenxin Bao,Guoqing Wang,Wensheng Wang,Yanqing Yang,Jie Wang
期刊论文
Bayes estimation of residual life by fusing multisource information
Qian ZHAO, Xiang JIA, Zhi-jun CHENG, Bo GUO
期刊论文
Intelligent algorithm for optimal meter placement and bus voltage estimation in ring main distribution
L. RAMESH, N. CHAKRABORTY, S. P. CHOWDHURY
期刊论文
Impact of anthropogenic heat emissions on meteorological parameters and air quality in Beijing using
期刊论文
Thermal degradation kinetics and lifetime estimation for polycarbonate/polymethylphenylsilsesquioxane
Jiangbo WANG, Zhong XIN
期刊论文
Inverse identification of the mechanical parameters of a pipeline hoop and analysis of the effect of
Ye GAO, Wei SUN
期刊论文
An operating state estimation model for integrated energy systems based on distributed solution
Dengji ZHOU, Shixi MA, Dawen HUANG, Huisheng ZHANG, Shilie WENG
期刊论文
Effect of thermodynamic parameters on the performance of refrigerator-ejector
Lihong CAO, Yicai LIU, Chao WAN, Tianlong XIN, Qian HUANG, Mingyan ZHANG
期刊论文
Effects of critical geometric parameters on the optical performance of a conical cavity receiver
Hu XIAO, Yanping ZHANG, Cong YOU, Chongzhe ZOU, Quentin FALCOZ
期刊论文
Effect of preparation parameters on catalytic properties of Pt/graphite
LIU Zhengqian, MA Jun, ZHAO Lei
期刊论文