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
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;
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2011 Third International Conference on
Conference_Location :
Shangshai
Print_ISBN :
978-1-4244-9010-3
DOI :
10.1109/ICMTMA.2011.147
