| 基于小波神经网络的FRP复合材料损伤声发射信号识别 |
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| 引用本文： | 李伟,吴超群,王艳茹,王宇,蒋鹏. 基于小波神经网络的FRP复合材料损伤声发射信号识别[J]. 化工机械, 2011, 38(3): 294-297 |
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| 作者姓名： | 李伟 吴超群 王艳茹 王宇 蒋鹏 |
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| 作者单位： | 东北石油大学机械科学与工程学院 |
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| 基金项目： | 黑龙江省教育厅基金项目，大庆市科技攻关项目 |
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| 摘 要： | 针对FRP复合材料损伤声发射信号的特点,运用小波包分解提取特征向量作为网络输入,通过小波分析与神经网络紧致结合的方式对不同类型的损伤模式进行识剐,并将遗传算法引入到小波神经网络中,优化网络初始权值,提高了网络的全局搜索与识别能力.
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| 关 键 词： | 复合材料 小波神经网络 遗传算法 模式识别 |
AE Signal Recognition for Damage of FRP Composite Material Based on Wavelet Neural Network |
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| LI Wei,WU Chao-qun,WANG Yan-ru,WANG Yu,JIANG Peng. AE Signal Recognition for Damage of FRP Composite Material Based on Wavelet Neural Network[J]. Chemical Engineering & Machinery, 2011, 38(3): 294-297 |
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| Authors: | LI Wei WU Chao-qun WANG Yan-ru WANG Yu JIANG Peng |
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| Affiliation: | (Northeast Petroleum University,College of Mechanical Science and Engineering,Daqing 163318,China) |
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| Abstract: | Considering features of the acoustic emission（AE） signals from the damaged FRP composite material,the wavelet packet decomposition was employed to take characteristic vector as a network input,and then basing on wavelet analysis and combination with neural network,the damages were distinguished;in addition,the genetic algorithm was introduced to the wavelet neural network to optimize its initial weights and improve its global search and recognition capabilities. |
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| Keywords: | composite material wavelet neural network genetic algorithm mode recognition |
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