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科研机构
兰州理工大学 [18]
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期刊论文 [10]
会议论文 [8]
发表日期
2022 [1]
2021 [1]
2020 [2]
2019 [2]
2018 [2]
2015 [1]
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专题:兰州理工大学
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Distributionally Robust Optimal Dispatch Method Considering Mining of Wind Power Statistical Characteristics
期刊论文
Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2022, 卷号: 46, 期号: 2, 页码: 33-42
作者:
Xu, Chaoran
;
Xu, Xiaoyuan
;
Yan, Zheng
;
Li, Hengjie
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2022/04/21
Affine transforms
Electric load dispatching
Linear programming
Principal component analysis
Probability distributions
Stochastic systems
Ambiguity set
Data driven
Distributionally robust optimization
Economical dispatch
Power output
Probability: distributions
Robust optimization
Robust optimization method
Uncertainty
Wind power output
Wind energy potential assessment based on wind speed, its direction and power data
期刊论文
SCIENTIFIC REPORTS, 2021, 卷号: 11, 期号: 1
作者:
Wang, Zhiming
;
Liu, Weimin
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2021/10/14
Optimal Parameter Estimation in Activated Sludge Process Based Wastewater Treatment Practice
期刊论文
WATER, 2020, 卷号: 12, 期号: 9
作者:
Du, Xianjun
;
Ma, Yue
;
Wei, Xueqin
;
Jegatheesan, Veeriah
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2022/03/01
activated sludge model 1 (ASM1)
intelligent algorithm
invasive weed optimization (IWO)
parameter estimation
wastewater treatment
Optimal parameter estimation in activated sludge process based wastewater treatment practice
期刊论文
Water (Switzerland), 2020, 卷号: 12, 期号: 9
作者:
Du, Xianjun
;
Ma, Yue
;
Wei, Xueqin
;
Jegatheesan, Veeriah
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2020/11/14
Effluent treatment
Effluents
Genetic algorithms
Parameter estimation
Reclamation
Sewage treatment plants
Wastewater treatment
Water quality
Activated sludge model
Faster convergence
Global optimal solutions
Intelligent Algorithms
Invasive weed optimization
Optimal parameter estimation
Wastewater treatment plants
Wastewater treatment process
Optimum Design of Pressure Regulating Valve in Vehicle Shift System
期刊论文
Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery, 2019, 卷号: 50, 期号: 10, 页码: 360-366
作者:
Wei, Liejiang
;
Li, Wei
;
Liu, Zengguang
;
Luo, Xiaomei
;
An, Yichao
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2020/11/14
Curve fitting
Genetic algorithms
Industrial management
Nonlinear programming
Optimization
Parameter estimation
Structural optimization
Vehicles
AMESim
Experimental scheme
Integral criterion
Modeling for simulations
Oil filling
Optimized simulation
Shift systems
Structural parameter
An extended geometric process and its application in replacement policy
期刊论文
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART O-JOURNAL OF RISK AND RELIABILITY, 2019, 卷号: 234, 期号: 1, 页码: 88-103
作者:
Gao, Wenke
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  |  
浏览/下载:0/0
  |  
提交时间:2019/11/15
Extended geometric process
maintenance effect
parameter estimation
replacement policy
recovery factor
Erosion estimation of guide vane end clearance in hydraulic turbines with sediment water flow
期刊论文
MODERN PHYSICS LETTERS B, 2018, 卷号: 32, 期号: 10
作者:
Han, Wei
;
Kang, Jingbo
;
Wang, Jie
;
Peng, Guoyi
;
Li, Lianyuan
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/11/15
Erosion estimation
end clearance
guide vane
solid-liquid two phase flow
numerical simulation
Parameter estimation of activated sludge process based on an improved cuckoo search algorithm
期刊论文
BIORESOURCE TECHNOLOGY, 2018, 卷号: 249, 页码: 447-456
作者:
Du, Xianjun
;
Wang, Junlu
;
Jegatheesan, Veeriah
;
Shi, Guohua
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2019/11/15
Activated sludge process
ASM1
Cuckoo search algorithm
Parameter estimation
Wastewater treatment
Reliability assessment of multiple NC machine tools based on three-parameter Weibull Process model
会议论文
Guangzhou, China, August 6, 2014 - August 8, 2014
作者:
Ren, Lina
;
Li, Jianhua
;
Wang, Xianzhi
;
Lei, Chunli
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2020/11/15
Reliability analysis of wind turbine gearbox based on the optimal confidence limit method
期刊论文
Journal of Donghua University (English Edition), 2014, 卷号: 31, 期号: 6, 页码: 839-842
作者:
An, Zong-Wen
;
Xu, Jie
;
Zhang, Xiao-Ling
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2020/11/14
Bayesian networks
Reliability
Wind turbines
Classical probabilities
Comparison result
Confidence levels
Confidence limit
Engineering practices
Lifetime prediction
Wind turbine gearboxes
Zero failure data
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