Title :
ANN Models for Steam Turbine Power Output Toward Condenser Circulating Water Flux
Author :
Ruixuan, Jia ; Hong, Xu
Author_Institution :
Key Lab. of Condition Monitoring & Control for Power Plant Equip. Minist. of Educ., North China Electr. Power Univ., Beijing, China
Abstract :
Aimed the costliness and the complex process of performance test for steam turbine power output toward circulating water flux and in view of the non-linear advantage about neural network, it brings forward predicting the performance using artificial neural networks. Compared with conventional model, the model established in this paper is of good pertinence to equipment as a result of practical sampling data collection on running equipment. Experimentation indicated that the predicting precision contented to the need of project.
Keywords :
neural nets; power engineering computing; steam power stations; steam turbines; ANN models; artificial neural networks; condenser circulating water flux; data collection sampling; nonlinear advantage; precision prediction; steam turbine power output; Artificial neural networks; Computer networks; Educational technology; Energy consumption; Intelligent networks; Poles and towers; Power generation; Power system modeling; Turbines; Vacuum systems; Artificial neural network; performance prediction; steam turbine power output;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-7279-6
Electronic_ISBN :
978-1-4244-7280-2
DOI :
10.1109/ICICTA.2010.610