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
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;
Conference_Titel :
Industrial Technology, 1996. (ICIT '96), Proceedings of The IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
0-7803-3104-4
DOI :
10.1109/ICIT.1996.601697
