首页 | 本学科首页   官方微博 | 高级检索  
     

基于BP神经网络的塔机起重臂结构应力识别
引用本文:谢正义,郑夕健,李楠. 基于BP神经网络的塔机起重臂结构应力识别[J]. 机电产品开发与创新, 2010, 23(1): 116-118. DOI: 10.3969/j.issn.1002-6673.2010.01.048
作者姓名:谢正义  郑夕健  李楠
作者单位:1. 沈阳建筑大学,交通与机械工程学院,辽宁,沈阳,110168
2. 辽宁省沈阳中科腐蚀控制工程技术有限公司,辽宁,沈阳,110180
基金项目:建设部科技攻关项目(2007-k8-8,06-k8-8);;沈阳建筑大学青年基金项目(2009008)
摘    要:以某塔式起重机为研究对象,组建BP神经网络并进行训练,对塔机不同的工作状态训练得到可靠的应力识别网络,确定塔机特征参数与结构应力间的非线性映射关系,识别出塔机起重臂结构的应力响应,为塔机寿命计算、安全监控及故障诊断提供参考。

关 键 词:塔式起重机  BP神经网络  应力识别

Stress Recognition for Tower Crane Jib Based on BP Neural Network
XIE Zheng-Yi,ZHENG Xi-Jion,LI Nan. Stress Recognition for Tower Crane Jib Based on BP Neural Network[J]. Development & Innovation of Machinery & Electrical Products, 2010, 23(1): 116-118. DOI: 10.3969/j.issn.1002-6673.2010.01.048
Authors:XIE Zheng-Yi  ZHENG Xi-Jion  LI Nan
Affiliation:1.School of Traffic and Mechanical Engineering;Shenyang Jianzhu University;Shenyang Liaoning 110168;China;2.Shenyang Zhongke Corrosion Control Technology Co.;Ltd.;Shenyang Liaoning 110180;China
Abstract:This paper is mainly to research the method of the structural stress recognition for tower crane jib based on BP neural network by taking a tower crane as the object of study.The BP neural network is set up and trained,then the reliable stress recognition network is obtained by training to the different work conditions.The relation between the tower crane characteristic parameter and the structural stress is built,and then the structure stress responses of the jib are recognized.The above results provides t...
Keywords:tower crane  BP neural network  stress recognition  
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号