Application of Cascade-Correlation Algorithm in Vibration Characteristics of Hydro Turbine

Abstract:

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The cascade correlation algorithm that is CC algorithms, CC network structure and CC network weights learning algorithm are introduced, based on the operation data of Wanjiazhai hydropower station, considering the pressure fluctuation, the network model of vibration characteristics is established based on CC algorithm, and the applications of CC and BP algorithm in vibration characteristics of turbine are compared. The results show that the CC algorithm is better than BP neural network, the results can be used in the optimal operation of hydropower, and it has a practical significance.

Info:

Periodical:

Advanced Materials Research (Volumes 108-111)

Edited by:

Yanwen Wu

Pages:

1070-1074

DOI:

10.4028/www.scientific.net/AMR.108-111.1070

Citation:

L. Y. Wang et al., "Application of Cascade-Correlation Algorithm in Vibration Characteristics of Hydro Turbine", Advanced Materials Research, Vols. 108-111, pp. 1070-1074, 2010

Online since:

May 2010

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Price:

$35.00

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