| 超声信号的特征提取与选择在缺陷分类识别中的应用 |
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| 引用本文： | 王丽华,张永宏. 超声信号的特征提取与选择在缺陷分类识别中的应用[J]. 机械制造与自动化, 2011, 40(6): 114-117 |
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| 作者姓名： | 王丽华 张永宏 |
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| 作者单位： | 南京信息工程大学信息与控制学院,江苏南京,210044 |
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| 基金项目： | 江苏省"六大人才"高峰高层次人才项目，教育部留学回国人员科研启动基金，江苏省"青蓝工程"中青年学术带头人资助项目 |
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| 摘 要： | 超声缺陷回波信号的特征提取与选择是超声波检测的基础和关键。结合待检测超声信号的特点,在时域、频域上研究了超声缺陷信号的特征提取,提出SBS和SFS结合的特征选择方法。在满足识别准确率的同时,有效地降低了分类器输入向量的维数,提高了运算效率。
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| 关 键 词： | 特征提取 特征选择 缺陷分类 超声信号 |
Application of Feature Extraction and Selection of Ultrasonic Signal in Ultrasonic Flaw Echo Identification |
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| WANG Li-hua,ZHANG Yong-hong. Application of Feature Extraction and Selection of Ultrasonic Signal in Ultrasonic Flaw Echo Identification[J]. Machine Building & Automation, 2011, 40(6): 114-117 |
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| Authors: | WANG Li-hua ZHANG Yong-hong |
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| Affiliation: | WANG Li-hua,ZHANG Yong-hong (College of Information and Control Engineering,Nanjing University of Information Science and Technology,Nanjing 210044,China) |
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| Abstract: | It is very important to extract and select the feature of ultrasonic flaw echo in ultrasonic detection.This paper makes a study of the feature extraction of ultrasonic flaw echo in time and frequency domain according to the signal characteristics,presents the combination algorithm based on SBS and SFS and analyzes the proposed method.It shows that the dimension is reduced effectively and good efficiency is got. |
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| Keywords: | feature extraction feature selection flaw identification ultrasonic signal |
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