| 基于振动的蚕茧质量智能无损检测 |
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| 引用本文： | 周国柱,杨光友,罗先礼,梁洁萍.基于振动的蚕茧质量智能无损检测[J].湖南科技大学学报(自然科学版),2006,21(1):17-20. |
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| 作者姓名： | 周国柱 杨光友 罗先礼 梁洁萍 |
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| 作者单位： | 湖北工业大学,机械工程学院,湖北,武汉,430068 |
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| 基金项目： | 湖北省科技攻关项目，科技部专项基金 |
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| 摘 要： | 提出了一种基于振动的蚕茧质量智能无损检测的方法.通过对蚕茧振动信号进行小波分解重构蚕蛹的振动冲击信号,提取与蚕蛹质量有关的特征值,并利用模糊聚类的方法优选特征值,然后将优选的特征值作为BP神经网络的输入参数,以蚕蛹质量作为输出参数训练该网络,训练后的神经网络可利用所采集的蚕茧振动信号确定蚕蛹的质量,从而间接得到茧壳的质量.试验结果表明该方法有效可行.图4,表2,参9.
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| 关 键 词： | 蚕茧 无损检测 振动 神经网络 小波包 特征提取 |
| 文章编号： | 1672-9102（2006）01-0017-04 |
| 收稿时间： | 2005-11-14 |
| 修稿时间： | 2005年11月14 |
An intelligent method of the non-destructive testing for pod based on vibration |
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| ZHOU Guo-zhu,YANG Guang-you,LUO Xian-li,LIANG Jie-ping.An intelligent method of the non-destructive testing for pod based on vibration[J].Journal of Hunan University of Science & Technology(Natural Science Editon),2006,21(1):17-20. |
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| Authors: | ZHOU Guo-zhu YANG Guang-you LUO Xian-li LIANG Jie-ping |
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| Institution: | School of Mechanical Engineering, Hubei University of Technology,Wuhan 430068, China |
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| Abstract: | A kind of non-destructive test method for silk cocoon based on vibration signal was authors applied wavelet theory to reconstructing chrysalis vibration signals. The features among ch proposed. The rysalis vibration signal,which were related to chrysalis weights,were extracted respectively. And the characteristic parameters were selected firstly by fuzzy classification. Then BP model of neural networks was built,which inputs include seven relevant characteristic parameters. The output of neural network represents weights of the chrysalis. The weight of cocoon shells can be gain indirectly. The experiment results show that the method are effective and feasible. 4figs., 2tabs., 9refs. |
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| Keywords: | pod non-destructive testing vibration neural networks wavelet packet feature extraction |
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