| 自组织神经网络在钢板和橡胶粘结缺陷检测中的应用 |
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| 引用本文： | 于京,刘蕊.自组织神经网络在钢板和橡胶粘结缺陷检测中的应用[J].内蒙古大学学报(自然科学版),2012,43(5):539-542. |
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| 作者姓名： | 于京 刘蕊 |
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| 作者单位： | 1. 北京电子科技职业学院电信工程学院,北京,100015
2. 北京信息职业技术学院,北京,100015 |
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| 基金项目： | 北京市2012年素质提高工程:专业创新团队建设-应用电子技术专业创新团队(207.6.12.1.9) |
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| 摘 要： | 利用超声波对钢板和橡胶的粘结质量进行检测.通过分析回波信号的谐波振幅、频率等信息,提取出了信号能量、奇异波的峰值和数量,并采用自组织神经网络分类算法对钢板和橡胶的粘结质量进行了定量分析.分析结果表明,自组织神经网络可以有效地对钢板和橡胶的粘结质量进行分类和识别.
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| 关 键 词： | 自组织神经网络 缺陷检测 钢板和橡胶粘结 |
An Application of Self-organizing Neural Network for Defect Detection in the Bonding of Steel Plates and Rubber |
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| YU Jing
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LIU Rui.An Application of Self-organizing Neural Network for Defect Detection in the Bonding of Steel Plates and Rubber[J].Acta Scientiarum Naturalium Universitatis Neimongol,2012,43(5):539-542. |
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| Authors: | YU Jing LIU Rui |
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| Institution: | 1.School of Telecom Engineering,Beijing Polytechnic,Beijing 100015,China; 2.Beijing Information Technology College,Beijing 100015,China) |
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| Abstract: | Bonding quality of steel plates and rubber with ultrasonic waves is expounded,the signal energy,peak value and the quantity of singular waves are extracted by analyzing the harmonics of the echo signal amplitude,frequency and so on.The self-organizing neural network classification algorithm is adopted to quantitative analysis of bonding quality of steel plates and rubber.The results show that this method is effective to classify and identify the bonding quality of steel plates and rubber. |
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| Keywords: | self-organizing neural network defect detection bonding of steel plate and rubber |
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