DocumentCode
539600
Title
Applications of an Improved Wavelet Network in the Low Pressure Cylinder of Turbine Steam Exhaust Enthalpies Calculation
Author
Liping, Zhang ; Quanhong, Sun ; Qi, Xu
Author_Institution
Power Dept., North China Univ. of Water Conservancy & Electr. Power, Zhengzhou, China
Volume
1
fYear
2011
fDate
6-7 Jan. 2011
Firstpage
577
Lastpage
580
Abstract
This paper applies the principle of the immune system adjustment to optimize the structure parameters of wavelet network, so as to establish a new type of wavelet neural network model which will be applied to turbine exhaust steam enthalpies. The calculation results show that the model has fast convergence, simple operation, high accuracy in forecasting, and has certain value of engineering applications.
Keywords
enthalpy; exhaust systems; neural nets; power engineering computing; pressure; steam turbines; wavelet transforms; immune system adjustment; low pressure cylinder; structure parameter; turbine steam exhaust enthalpies calculation; wavelet neural network; Artificial neural networks; Biological cells; Convergence; Encoding; Evolutionary computation; Optimization; Turbines; steam enthalpy; steam turbine; wavelet network Vector distance Eexhaust;
fLanguage
English
Publisher
ieee
Conference_Titel
Measuring Technology and Mechatronics Automation (ICMTMA), 2011 Third International Conference on
Conference_Location
Shangshai
Print_ISBN
978-1-4244-9010-3
Type
conf
DOI
10.1109/ICMTMA.2011.147
Filename
5720850
Link To Document