| 基于人工神经网络的曲轴残余应力巴克豪森测试仪 |
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| 引用本文： | 侯瑞生,王文军,王庆东,佘娜.基于人工神经网络的曲轴残余应力巴克豪森测试仪[J].机电产品开发与创新,2006,19(3):45-47. |
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| 作者姓名： | 侯瑞生 王文军 王庆东 佘娜 |
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| 作者单位： | 河北工程大学,河北,邯郸,056021 |
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| 摘 要： | 研制了基于巴氏噪声的曲轴残余应力测试仪,介绍了人工神经网络技术的原理、学习与训练方法等内容,以及如何建立BN信号与应力间的关系。实验数据表明该仪器测试数据准确可靠。
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| 关 键 词： | 残余应力 Barkhausen噪声 径向基函数(RBF) |
| 文章编号： | 1002-6673（2006）03-045-03 |
| 收稿时间： | 2006-03-03 |
| 修稿时间： | 2006年3月3日 |
Development of Residual Stress Instrument Using the Barkhausen Noise Technique Based on Artificial Neural Networks |
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| HOU Rui-Sheng,WANG Wen-Jun,WANG Qing-Dong,SHE Na.Development of Residual Stress Instrument Using the Barkhausen Noise Technique Based on Artificial Neural Networks[J].Development & Innovation of Machinery & Electrical Products,2006,19(3):45-47. |
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| Authors: | HOU Rui-Sheng WANG Wen-Jun WANG Qing-Dong SHE Na |
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| Affiliation: | Hebei University of Engineering, Handan Hebei 056021, China |
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| Abstract: | An instrument for residual stress of crankshaft was developed on the basis of Barkhausen noise. The principle and algorithm of neural networks,and how to build the relationship between BN and stress. It was found in the test that the testing data was exact and reliable. |
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| Keywords: | Matlab |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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