DocumentCode
3278014
Title
Neural network modeling of the differential expansion of a 200 MW steam turbine
Author
Qing, Wang ; Tong, Zhang ; Guoxue, Wang ; Shuying, Li
Author_Institution
Harbin Inst. of Technol., China
fYear
1996
fDate
2-6 Dec 1996
Firstpage
753
Lastpage
756
Abstract
A new neural network approach is applied to the modeling of the differential expansion of a 200 MW steam turbine. This approach uses BP network with internal lags and is useful for modeling the process in which outputs change slowly with inputs
Keywords
backpropagation; mechanical engineering; mechanical engineering computing; neural nets; steam turbines; thermal expansion; BP network; backpropagation; differential expansion; internal lags; neural network modeling; steam turbine; Feedforward neural networks; Feeds; Modems; Multi-layer neural network; Network topology; Neural networks; Neurons; Power generation; Turbines; Turbogenerators;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Technology, 1996. (ICIT '96), Proceedings of The IEEE International Conference on
Conference_Location
Shanghai
Print_ISBN
0-7803-3104-4
Type
conf
DOI
10.1109/ICIT.1996.601697
Filename
601697
Link To Document