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

Volume

1

fYear

2010

fDate

11-12 May 2010

Firstpage

719

Lastpage

721

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICICTA.2010.610

Filename

5522955