Study of Combination Character Based ANN and one Dimensional Optimization in Axial-Flow Water Turbine

Abstract:

This paper uses artificial neural network (ANN) and one dimensional optimization method to get an auto-analysis method on combination character test data in the axial-flow turbine. It can obtain the combination character of hydraulic turbine automatically based on the test data. Compared to the classical method of artificial computation, it can shorten mach computing time and avoid the character conversion of different water head, it also can increase the computation accuracy. So it can supply the method to reference use in processing character test data of hydraulic turbine.

• Periodical: Applied Mechanics and Materials (Volumes 44-47)
• Pages: 1360-1364
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.44-47.1360
• Online since: December 2010
• Authors: Li Ying Wang, De Hua Wei, Xiao Long Xu
• Keywords: Artificial Neural Network (ANN), Axial-Flow Turbine, Combination Character, One Dimensional Optimization

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