WSEAS TRANSACTIONS on SYSTEMS AND CONTROL …
2011-9-12 · Title of the Paper: The Study of Novel Detection Approach for OCS Dynamic Parameters of High-speed Electrified Railway DOWNLOAD FULL PDF. Authors: Chen Tanglong, Ma Fengchao, Zhou Yan Abstract: This paper starts with dynamic response of pantograph slider, and computes the dynamic parameters of pantograph-catenary system such as contact force, hard spot, pull-off value and …
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Optimal Task Decomposition Agents of the Multiagent …
2010-2-9 · Optimal Task Decomposition Agents of the Multiagent Power Plant Control System Jiang Chang, Member, IEEE, Fuzzy and Neural Network toolboxes make it steam to the turbine (u 2) and feedwater to the drum (u 3). The three outputs are the
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Proceedings of the 15th International Conference on
2007-3-16 · 15th International Conference on Systems Science Volume III Knowledge Engineering and Intelligent Systems Modelling of dynamic nonlinear complex systems using neural networks 87 Corneliu LAZAR, Sorin CARARI, Draguna VRABIE, Dorin IVANA Modelling of the multipart steam turbine in Matlab environment 410 John FOGELHOLM, Esa HAMALAINEN
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An Interior Trust Region Approach for Nonlinear
2018-9-18 · An Interior Trust Region Approach for Nonlinear Minimization Subject to Bounds. Related Databases. An ultrafast neural network-based hardware acceleration for nonlinear systems' simulators. Coal-fired utility boiler modelling for advanced economical low-NO x combustion controller design.
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IJERT – International Journal of Engineering Research
International Journal of Engineering Research & Technology - Quickly publish your original papers in Peer Reviewed, High Impact, Open Access, Broad Scope, Widely Indexed & Fast Track Journal & Get Free Hard Copies, Certificate of Publication - Launched in 2012
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me.sjtu.edu.cn
2013-9-30 · Hand Gesture Recognition for Human-computer Interaction Using Moment Invariants and Neural Network Classifier 2013/6/19 2013.32013.7,Matlab 2013.9,
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(PDF) Coordinated controller tuning of a boiler turbine
Coordinated controller tuning of a boiler turbine unit with new binary particle swarm optimization algorithm of PID or PI controllers to boiler turbine unit of steam pressure set point at
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Optimal Task Decomposition Agents of the Multiagent …
2010-2-9 · Optimal Task Decomposition Agents of the Multiagent Power Plant Control System Jiang Chang, Member, IEEE, Fuzzy and Neural Network toolboxes make it steam to the turbine (u 2) and feedwater to the drum (u 3). The three outputs are the
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Qi Luo - Staff Software Architect, Tech Lead - Baidu …
View Qi Luo's profile on LinkedIn, the world's largest professional community. Qi has 7 jobs listed on their profile. See the complete profile on LinkedIn and discover Qi's connections and
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Optimal Task Decomposition Agents of the Multiagent …
2010-2-9 · Optimal Task Decomposition Agents of the Multiagent Power Plant Control System Jiang Chang, Member, IEEE, Fuzzy and Neural Network toolboxes make it captured for a 160-MW oil-fired drum-type boiler-turbine-generator unit in a third order multi-input-multi-output
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Qi Luo - Staff Software Architect, Tech Lead - Baidu …
• Energy conversion and motion dynamic modeling of different components for CSP including: Sunshine prediction, Heliostats, Solar power, Heat storage, Boiler and Steam turbine generator. • Three-level control algorithm design for plant safety guarantee to performance enhancement utilizing PID, Model Predictive Control, H Infinity Control
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2011SCI（178）
2012-5-23 · Application Of Neural Network In Power System Inter-Harmonic Detection 3rd International Symposium on Information ICDMA 2011 Optimal Operation Of Cold End System For Steam Turbine In Coal-Fired Power Plant 2011
Get a QuoteEnergies August 2015 - Browse Articles
Results show that the multilayer feed-forward neural network (MLFN) with 3 nodes is the best model for the prediction of heat collection rate and the general regression neural network (GRNN) is the best model for the prediction of heat loss coefficient due to their low root mean square (RMS) errors, short training times, and high prediction
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Fouling in Heat Exchangers IntechOpen
Matlab being a programming language widely used in all scientific fields and in engineering sciences in particular may be used in conjunction with the artificial neural network (ANN) approach to provide an accurate and reliable method for predicting the fouling rate and rate of heat transfer in heat exchangers.
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dlutir.dlut.edu.cn
2019-9-16 · ： 2011: ： Liu, WW (reprint author), Shenyang Univ Technol, Sch Mech Engn, Shenyang, Peoples R China. ： Conference on Advances in Computer Science,
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International Society of Automation (ISA) Standards …
International Society of Automation (ISA) Datasheets for Standards and Technical Documents A Control Strategy for Drum Boilers in Incorporating an Advance Boiler Turbine Coordinator - POWID 1982 A Control Strategy for Variable Pressure Once-Through Units - POWID 1980 This paper presents a comparison of two Artificial Neural Network
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Graphical representation of fuzzy state space of a …
Published in: · Proceeding: NN'10/EC'10/FS'10 Proceedings of the 11th WSEAS international conference on nural networks and 11th WSEAS international conference on evolutionary computing and 11th WSEAS international conference on Fuzzy systems
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IRJET-volume6-issue5
2019-11-22 · Road Feature Extraction from High Resolution Satellite Images using Neural Network-Akshata Pingale, Ashwini Kanskar, Sukanya Dodke, Sonali Sawant Performance Evolution of 11.5 MW Steam Turbine of MSW based Power Plant Crop Disease Detector using Drone and Matlab-Lahase Chetan Dilip, Borse Saurabh Budha, Koli Madhushri Pramod, Pande A.S
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Graphical representation of fuzzy state space of a …
Published in: · Proceeding: NN'10/EC'10/FS'10 Proceedings of the 11th WSEAS international conference on nural networks and 11th WSEAS international conference on evolutionary computing and 11th WSEAS international conference on Fuzzy systems
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fgc.hpu.edu.cn
2006-9-16 · In the present study, support vector regression (SVR), as well as artificial neural networks (ANN), was proposed to model the relationship between NOx emissions and operating parameters of a 300 MW coal-fired utility boiler.
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