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

Abstract:

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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.

Info:

Periodical:

Edited by:

Ran Chen

Pages:

1360-1364

DOI:

10.4028/www.scientific.net/AMM.44-47.1360

Citation:

L. Y. Wang et al., "Study of Combination Character Based ANN and one Dimensional Optimization in Axial-Flow Water Turbine", Applied Mechanics and Materials, Vols. 44-47, pp. 1360-1364, 2011

Online since:

December 2010

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Price:

$35.00

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