| BP神经网络在航空复合材料敲击检测中的应用 |
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| 引用本文： | 高志列,李艳军,曹愈远,王广侃.BP神经网络在航空复合材料敲击检测中的应用[J].航空计算技术,2017,47(3). |
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| 作者姓名： | 高志列 李艳军 曹愈远 王广侃 |
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| 作者单位： | 南京航空航天大学 民航学院,江苏 南京,210016 |
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| 基金项目： | 国家自然科学基金项目资助，中国民航总局科技基金项目资助 |
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| 摘 要： | 随着航空复合材料运用越来越广泛,其本身缺陷造成的事故也愈来愈多.提出一种利用敲击检测和BP神经网络的航空复合材料无损检测方法.首先运用敲击检测采集数据;然后运用平均值法和方差法来对数据进行修正;最后借助MATLAB软件进行BP神经网络数据分析,在训练数据4 000组、测试数据20组时,准确率可达90%.实例验证结果表明,基于BP神经网络的敲击检测方法可以实现航空复合材料缺陷的有效检测.
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| 关 键 词： | 航空复合材料 数据处理 敲击检测 BP神经网络 |
Application of BP Neural Network in Detection of Aviation Composite Materials |
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| GAO Zhi-Lie,LI Yan-jun,CAO Yu-Yuan,Wang Guang-Kan.Application of BP Neural Network in Detection of Aviation Composite Materials[J].Aeronautical Computer Technique,2017,47(3). |
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| Authors: | GAO Zhi-Lie LI Yan-jun CAO Yu-Yuan Wang Guang-Kan |
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| Abstract: | With the application of aviation composite materials more and more widely,the defects of aviation composite materials bring more and more accidents.This paper presents a new method for nondestructive testing of aviation composite materials based on percussion detection and BP neural network.Firstly,the defect data is collected by the knock detection;then,the mean value method and variance method are used to correct the data;finally,with the help of MATLAB software to process 4000 groups of training data and 20 groups of the test data,the accuracy rate is up to 90%.The results show that the method based on BP neural network can effectively detect the damage of composite materials. |
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| Keywords: | aviation composites data processing kock detection BP neural network |
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