The fault diagnosis of Tower Crane based on Genetic Algorithm and BP Neural Network

被引：1
|
作者：
Yuan, Sicong [1 ]
Shang, Jingqiang [1 ]
Wang, Xiaoyu [1 ]
Li, Chao [1 ]
机构：
[1] Xian Univ Architecture & Technol, Sch Mech & Elect Engn, Xian 710055, Shanxi, Peoples R China
来源：
ADVANCES IN CIVIL ENGINEERING AND ARCHITECTURE INNOVATION, PTS 1-6 | 2012年 / 368-373卷
关键词：
Tower Crane; fault; BP Neural Network; Genetic Algorithm; optimization;
D O I：
10.4028/www.scientific.net/AMR.368-373.3163
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
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.
引用
收藏
页码：3163 / 3166
页数：4
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