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基于BP神经网络的海洋平台振动载荷识别
引用本文:窦春红,林近山,寇兴磊. 基于BP神经网络的海洋平台振动载荷识别[J]. 石油矿场机械, 2007, 36(7): 11-15
作者姓名:窦春红  林近山  寇兴磊
作者单位:1. 潍坊学院,信息与控制工程学院,山东,潍坊,261061
2. 潍坊学院,机电工程学院,山东,潍坊,261061
3. 山东寿光巨能电力有限公司,山东,寿光,262700
基金项目:山东省自然科学基金;中海石油(中国)有限公司资助项目
摘    要:
利用ANSYS软件建立了W12-1海洋平台的有限元模型,通过在模型识别点上施加激励得到的响应方法获得了BP神经网络的训练数据。建立了关于W12-1海洋平台的BP神经网络模型,并对其振动载荷进行了识别。识别结果表明,在对海洋平台这样的大型复杂结构进行载荷识别时,神经网络方法相对于传统载荷识别方法具有更高的识别精度。

关 键 词:BP神经网络  载荷识别  海洋平台
文章编号:1001-3482(2007)07-0011-05
修稿时间:2006-12-22

Vibration Load Identification of Offshore Platform Based on BP Neural Network
DOU Chun-hong,LIN Jin-shan,KOU Xing-lei. Vibration Load Identification of Offshore Platform Based on BP Neural Network[J]. Oil Field Equipment, 2007, 36(7): 11-15
Authors:DOU Chun-hong  LIN Jin-shan  KOU Xing-lei
Affiliation:1. School of Information and Control Engineering, Wei fang College, Wei fang 261061, China;2. School of Mechanical and Electronic Engineering, Wei fang College, Wei fang 261061, China;3. Shandong Shouguang Juneng Electric Power Co. , Ltd. , Shouguang 262700, China
Abstract:
We make use of the software of MATLAB to compile the program of BP neural net-work. The average relative error of identification is 2.47% in the calculation example of simply- supported beam. The BP neural network model about W12-1 offshore platform is set up, the vi- bration load and optimize the number of connotative layer cells and testing points participating in load identification are identified. The identification result shows that BP neural network method gets a great advantage of traditional load identification method in the load identification of such large-complex construction as offshore platform.
Keywords:MATLAB  ANSYS
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