检索结果-内蒙古大学图书馆

Corrigendum to “Optimization control for the coordinated system of an ultra-supercritical unit based on stair-like predictive control algorithm” [control Eng. Pract. 82 (2019) 185–200]

引用

control Engineering Practice 2019年 83卷 213-213页

作者： Deliang Zeng Yaokui Gao Yong Hu Jizhen Liu State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Changping District 102206 Beijing China Key Laboratory of Measurement and Control New Technology and System for Industrial Process North China Electric Power University Changping District 102206 Beijing China

来源：评论

学校读者我要写书评

暂无评论

Modeling on SCR process of a coal-fired boiler using LSSVM method 27

Modeling on SCR process of a coal-fired boiler using LSSVM m...

引用

27th Chinese control and Decision Conference, CCDC 2015

作者： Yang, Tingting Chao, Cui You, Lv Jian, Li Key Laboratory of Measurement and Control New Technology and System for Industrial Process North China Electric Power University Beijing China

ISBN: (纸本)9781479970179

Selective catalytic reduction (SCR) is widely applied in coal-fired power plants. SCR process is a complex physical and chemical process with multi-input, strong coupling, nonlinear, and time delay characteristics. An effective model is the basis of conducting control and optimization. In this paper, influencing factors of catalytic reaction in SCR converter are analyzed and five measurable parameters are selected as the model input variables. NOx emission and NH3slip are separately taken as output variables. The LSSVM algorithm is employed to build the SCR models using real plant operation data from a 1000 MW coal-fired boiler. Simulation results have shown satisfied model accuracy and effectiveness are achieved. © 2015 IEEE.

关键词： coal-fired power plant data-driven model LSSVM selective catalytic reduction

来源：评论

学校读者我要写书评

暂无评论

Modeling on SCR Process of a Coal-fired Boiler Using LSSVM method

Modeling on SCR Process of a Coal-fired Boiler Using LSSVM m...

引用

第27届中国控制与决策会议

作者： YANG Tingting CUI Chao LV You LI Jian Key Laboratory of Measurement & Control New Technology and System for Industrial Process(North China Electric Power University)

ISBN: (纸本)9781479970186

Selective catalytic reduction（SCR） is widely applied in coal-fired power *** process is a complex physical and chemical process with multi-input,strong coupling,nonlinear,and time delay *** effective model is the basis of conducting control and *** this paper,influencing factors of catalytic reaction in SCR converter are analyzed and five measurable parameters are selected as the model input *** emission and NHslip are separately taken as output *** LSSVM algorithm is employed to build the SCR models using real plant operation data from a 1000 MW coal-fired *** results have shown satisfied model accuracy and effectiveness are achieved.

关键词： selective catalytic reduction coal-fired power plant LSSVM data-driven model

来源：评论

学校读者我要写书评

暂无评论

Author Correction: Enhancing untargeted metabolomics using metadata-based source annotation

引用

Nature biotechnology 2023年第11期41卷 1656页

作者： Julia M Gauglitz Kiana A West Wout Bittremieux Candace L Williams Kelly C Weldon Morgan Panitchpakdi Francesca Di Ottavio Christine M Aceves Elizabeth Brown Nicole C Sikora Alan K Jarmusch Cameron Martino Anupriya Tripathi Michael J Meehan Kathleen Dorrestein Justin P Shaffer Roxana Coras Fernando Vargas Lindsay DeRight Goldasich Tara Schwartz MacKenzie Bryant Gregory Humphrey Abigail J Johnson Katharina Spengler Pedro Belda-Ferre Edgar Diaz Daniel McDonald Qiyun Zhu Emmanuel O Elijah Mingxun Wang Clarisse Marotz Kate E Sprecher Daniela Vargas-Robles Dana Withrow Gail Ackermann Lourdes Herrera Barry J Bradford Lucas Maciel Mauriz Marques Juliano Geraldo Amaral Rodrigo Moreira Silva Flavio Protasio Veras Thiago Mattar Cunha Rene Donizeti Ribeiro Oliveira Paulo Louzada-Junior Robert H Mills Paulina K Piotrowski Stephanie L Servetas Sandra M Da Silva Christina M Jones Nancy J Lin Katrice A Lippa Scott A Jackson Rima Kaddurah Daouk Douglas Galasko Parambir S Dulai Tatyana I Kalashnikova Curt Wittenberg Robert Terkeltaub Megan M Doty Jae H Kim Kyung E Rhee Julia Beauchamp-Walters Kenneth P Wright Maria Gloria Dominguez-Bello Mark Manary Michelli F Oliveira Brigid S Boland Norberto Peporine Lopes Monica Guma Austin D Swafford Rachel J Dutton Rob Knight Pieter C Dorrestein Collaborative Mass Spectrometry Innovation Center University of California San Diego La Jolla CA USA. Skaggs School of Pharmacy and Pharmaceutical Sciences University of California San Diego La Jolla CA USA. Beckman Center for Conservation Research San Diego Zoo Wildlife Alliance Escondido CA USA. Center for Microbiome Innovation Joan and Irwin Jacobs School of Engineering University of California San Diego La Jolla CA USA. Division of Biological Sciences University of California San Diego La Jolla CA USA. Department of Pediatrics School of Medicine University of California San Diego La Jolla CA USA. Bioinformatics and Systems Biology Program University of California San Diego La Jolla CA USA. Division of Rheumatology Allergy & Immunology Department of Medicine University of California San Diego La Jolla CA USA. Division of Epidemiology and Community Health School of Public Health University of Minnesota Minneapolis MN USA. Department of Integrative Physiology University of Colorado Boulder Boulder CO USA. Department of Population Health Sciences University of Wisconsin-Madison Madison WI USA. Servicio Autónomo Centro Amazónico de Investigación y Control de Enfermedades Tropicales Simón Bolívar Puerto Ayacucho Amazonas Venezuela. Department of Pediatrics Billings Clinic Billings MT USA. Department of Animal Science Michigan State University East Lansing MI USA. Department of Pharmacology Ribeirão Preto Medicinal School Center of Research in Inflammatory Diseases University of São Paulo Ribeirão Preto Sao Paolo Brazil. Multidisciplinary Health Institute Federal University of Bahia Vitória da Conquista Bahia Brazil. NPPNS Department of Biomolecular Sciences School of Pharmaceutical Sciences of Ribeirão Preto University of São Paulo Ribeirão Preto Sao Paolo Brazil. Department of Internal Medicine Ribeirão Preto Medical School Center of Research in Inflammatory Diseases University of São Paulo Ribeirão Preto Sao Paolo Brazil. Department

来源：评论

学校读者我要写书评

暂无评论

Robust control reconfiguration of resource allocation systems with Petri nets and integer programming

Robust control reconfiguration of resource allocation system...

引用

作者： Li, Jun Zhou, Mengchu Guo, Tao Gan, Yahui Dai, Xianzhong Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education China School of Automation Southeast University Nanjing 210096 China Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 201804 China Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ 07102 United States

Supervisory control reconfiguration can handle the uncertainties including resource failures and task changes in discrete event systems. It was not addressed to exploit the robustness of closed-loop systems to accommodate some uncertainties in the prior studies. Such exploitation can cost-efficiently achieve reconfigurability and flexibility for real systems. This paper presents a robust reconfiguration method based on Petri nets (PNs) and integer programming for supervisory control of resource allocation systems (RASs) subject to varying resource allocation relationships. An allocation relationship is seen as a control specification while the execution processes requiring resources as an uncontrolled plant. First, a robust reconfiguration mechanism is proposed. It includes updating the P-invariant-based supervisor and evolving the state of the closed-loop system. The latter adapts to the control specification changes by the self-regulation of the closed-loop system's state. Next, two novel integer programming models for control reconfiguration are proposed, called a reconfiguration model with acceptability and reconfiguration one with specification correction. Since both models integrate the firability condition of transitions, no additional efforts are required for the state reachability analysis. Finally, a hospital emergency service system is used as an example to illustrate them. © 2014 Elsevier Ltd. All rights reserved.

关键词： Integer programming

来源：评论

学校读者我要写书评

暂无评论

Data driven state detection algorithm for ash deposition detection

Data driven state detection algorithm for ash deposition det...

引用

2013 18th International Conference on Methods and Models in Automation and Robotics, MMAR 2013

作者： Liu, Jiwei Liu, Jizhen Deliang, Zeng Chang, Taihua Key Laboratory of Measurement and Control New Technology and System for Industrial Process North China Electric Power University Beijing China

ISBN: (纸本)9781467355063

A data driven state detection algorithm was proposed to improve the security and reliability of equipment. The algorithm is used for one class of objects whose state parameters change slowly and cumulatively in the long term. The concepts of multi-scale system, multi-scale entropy and multi-scale exergy were used to describe these processes. With the help of the algorithm, an ash deposition index for the radiant heating surface of a 600 MW unit was constructed to monitor the states of the instruments. Noise was analyzed. The results of simulation experiments demonstrate the effectiveness of the algorithm, which can provide a technical basis for condition maintenance. © 2013 West Pomeranian University of technology.

关键词： Exergy

来源：评论

学校读者我要写书评

暂无评论

new energy power generation process output complementary and coordinated control

New energy power generation process output complementary and...

引用

2013 International Conference on Vehicle and Mechanical Engineering and Information technology, VMEIT 2013

作者： Gao, Ming-Ming Hou, Jie Zeng, De-Liang Lei, Xiu-Jian Tang, Jun Zhang, Ming-Sheng Beijing Key Laboratory of Measurement and Control New Technology and System for Industrial Process State Key Lab of Alternate Electric Power System With Renewable Energy Sources North China Electric Power University Beijing China Sichuan Baima Circulating Fluidized Bed Exampled Power Limited Liability Company Neijiang China

ISBN: (纸本)9783037858202

In view of the current high rate of abandoned wind, photovoltaic power generation costs and wind-fire bundling mode, in the active power control of the wind of low load operation of motor fluctuations in the fire team leader, the subject in the study of wind power, photovoltaic power generation, power, battery energy storage based on the load response characteristic, design the scheduler, a wind and photovoltaic power plant active power scheduling for equipment, allocation of plant-level optimal load distribution system of the thermal power plant joint scheduling, in order to improve the stability of output of new energy, reduce the energy consumption of the whole network. At the same time, the wind and photovoltaic power plant energy storage system and wind farm output coordination problem is equivalent to a mixed integer programming problem to be solved, to simultaneously determine fans and solar panels and bear the load rate;for thermal power plant load distribution optimization design of the minimum unit involved in strategy reduces the effect of variable load, variable load on set pressure and high temperature parts life. This topic to some extent to improve the wind energy and solar energy utilization, helps to reduce the carbon fuel usage, has certain theoretical and practical significance. © (2013) Trans Tech Publications, Switzerland.

关键词： Wind power

来源：评论

学校读者我要写书评

暂无评论

Application of rough set technology to control information system of CFBB

引用

2013 International Conference on Energy Research and Power Engineering, ERPE 2013

作者： Gao, Ming Min Hou, Jie Zeng, De Liang Lei, Xiu Jian Wu, Yu Ping Zhang, Ming Sheng Beijing Key Laboratory of Measurement and Control New Technology and System for Industrial Process State Key Lab of Alternate Electric Power System With Renewable Energy Sources North China Electric Power University 102206 China Sichuan Baima Circulating Fluidized Bed Exampled Power Limited Liability Company 641000 China

ISBN: (纸本)9783037857588

Circulating fluidized bed boiler(CFBB) is a distributed parameter, nonlinear, time-varying and multivariate coupling system. Considering these, the core identity of Rough Set and the theory of self-organizing neural fuzzy inference system is applied to the control system of CFBB. The system is carried out toward the 300MW CFBB in Baima Sichuan province, and finally improve the performance of CFBB effectively. © (2013) Trans Tech Publications, Switzerland.

关键词： Data mining

来源：评论

学校读者我要写书评

暂无评论

Dynamic characteristics and predictive control for Organic Rankine Cycle

Dynamic characteristics and predictive control for Organic R...

引用

2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012

作者： Zhang, Jianhua Li, Ying Wang, Zhuofei Hou, Guolian Beijing Key Laboratory of Industrial Process Measurement and Control New Technology and System North China Electric Power University NCEPU Beijing China

ISBN: (纸本)9781457721175

Organic Rankine Cycle (ORC) is particularly suitable for the recovery of energy from low-quality heat sources. In this paper, a generalized predictive controller is proposed for a low-quality heat recovery process operating on an Organic Rankine Cycle. The simulation results show that the proposed control strategy can achieve good transient and steady response along with decoupling performance. © 2012 IEEE.

关键词： Waste heat

来源：评论

学校读者我要写书评

暂无评论

Dynamic characteristics and predictive control for Organic Rankine Cycle

Dynamic characteristics and predictive control for Organic R...

引用

IEEE Conference on Industrial Electronics and Applications (ICIEA)

作者： Jianhua Zhang Ying Li Zhuofei Wang Guolian Hou Beijing Key Laboratory of Industrial Process Measurement & Control New Technology and System North China Electric Power University NCEPU Beijing China

关键词： Mathematical model Fluids Predictive models Heat recovery Equations Predictive control Waste heat

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：