| 基于小波神经网络的复合材料损伤检测 |
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| 引用本文： | 吴耀军,陶宝祺.基于小波神经网络的复合材料损伤检测[J].航空学报,1997,18(2):252-256. |
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| 作者姓名： | 吴耀军 陶宝祺 |
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| 作者单位： | 南京航空航天大学智能结构和材料研究所 |
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| 基金项目： | 国家自然科学基金,航空科学基金 |
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| 摘 要： | 讨论了小波变换和小波神经网络，借助小波变换良好的时频带通分层性，从各阶二进小波变换的频域中提取特征，送入小波神经网络进行学习和分类，结果表明该方法稳定可靠，在复合材料智能化研究中具有很大前景。
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| 关 键 词： | 特征提取 神经网络 复合材料 损伤检测 |
DAMAGE DETECTION OF THE SMART COMPOSITE STRUCTURE USING WAVELET NEURAL NETWORKS |
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| Wu Yaojun,Tao Baoqi.DAMAGE DETECTION OF THE SMART COMPOSITE STRUCTURE USING WAVELET NEURAL NETWORKS[J].Acta Aeronautica et Astronautica Sinica,1997,18(2):252-256. |
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| Authors: | Wu Yaojun Tao Baoqi |
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| Institution: | Smart Material &; Structure Research Institute, Nanjing University of Aeronautics &; Astronautics, Nanjing, 210016 |
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| Abstract: | A wavelet transform and a wavelet neural network are discussed. The features of frequency specturm analysis at the different resolutions of the dyadic wavelet transform are extracted by using the properties of its better multiresolution analysis. These features are fed into the wavelet neural networks as the input patterns for training and classifying. The experiments are conducted to demonstrate the feasibility of the proposed method. |
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| Keywords: | feature extraction neural- net work composite materials damage-detection |
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