| 基于神经网络双向联想记忆的超声检测 |
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| 引用本文： | 贺宇雷,王长松,李群堂. 基于神经网络双向联想记忆的超声检测[J]. 机械工程与自动化, 2007, 0(5): 100-101,107 |
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| 作者姓名： | 贺宇雷 王长松 李群堂 |
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| 作者单位： | 北京科技大学,机械工程学院,北京,100083 |
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| 摘 要： | 将神经元网络的联想记忆模型用于超声反射回波信号的识别与分类,通过对缺陷的超声信号分析处理,结果表明：采用双向联想记忆方法进行缺陷识别与分类是可行的,为超声缺陷的诊断提供了一条新的途径。
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| 关 键 词： | 神经网络 超声检测 双向联想记忆模型 |
| 文章编号： | 1672-6413（2007）05-0100-02 |
| 修稿时间： | 2007-03-052007-05-18 |
Application of BAM in Ultrasonic Testing |
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| HE Yu-lei,WANG Chang-song,LI Qun-tang. Application of BAM in Ultrasonic Testing[J]. Mechanical Engineering & Automation, 2007, 0(5): 100-101,107 |
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| Authors: | HE Yu-lei WANG Chang-song LI Qun-tang |
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| Affiliation: | School of Mechanical Engineering,University of Science and Technology Beijing,Beijing 100083,China |
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| Abstract: | This paper introduces the application of BAM model in ultrasonic testing,and realizes the recognition and classification of ultrasonic echo signals.The results of analyzing and processing ultrasonic signals indicate that it's feasible to use the BAM method in fault detection and classification,which provides a new method for ultrasonic fault diagnosis. |
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| Keywords: | neural network ultrasonic testing bidirectional associative memory(BAM)model |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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