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

Si Cong Yuan; Jing Qiang Shang; Xiao Yu Wang; Chao Li

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

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 368-373The Fault Diagnosis of Tower Crane Based on...

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

Abstract:

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.

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Periodical:

Advanced Materials Research (Volumes 368-373)

Pages:

3163-3166

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.368-373.3163

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Online since:

October 2011

Authors:

Si Cong Yuan, Jing Qiang Shang, Xiao Yu Wang, Chao Li

Keywords:

BP Neural Network (BPNN), Fault, Genetic Algorithm (GA), Optimization, Tower Crane

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