The Fault Diagnosis of Tower Crane Based on Genetic Algorithm and BP Neural Network

Abstract:

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As the most important architectural engineering mechanics in the processing of architectural construction, the progress of construction will be put off by the appearance of the fault of Tower Crane, so it is absolutely crucial to take the monitoring and diagnosis of the condition. BP Neural Network ,which is optimized by Genetic Algorithm, is constructed to have the prediction and identification of the fault of Tower Crane, and it proved that it is effectively and precisely to justify the fault of Tower Crane through using the structure of improving BP Neural Network.

Info:

Periodical:

Advanced Materials Research (Volumes 368-373)

Edited by:

Qing Yang, Li Hua Zhu, Jing Jing He, Zeng Feng Yan and Rui Ren

Pages:

3163-3166

DOI:

10.4028/www.scientific.net/AMR.368-373.3163

Citation:

S. C. Yuan et al., "The Fault Diagnosis of Tower Crane Based on Genetic Algorithm and BP Neural Network", Advanced Materials Research, Vols. 368-373, pp. 3163-3166, 2012

Online since:

October 2011

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Price:

$35.00

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