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基于人工神经网络的曲轴残余应力巴克豪森测试仪 被引量:2

Development of Residual Stress Instrument Using the Barkhausen Noise Technique Based on Artificial Neural Networks
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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。 An instrument for residual stress of crankshzft 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.
机构地区 河北工程大学
出处 《机电产品开发与创新》 2006年第3期45-47,共3页 Development & Innovation of Machinery & Electrical Products
关键词 残余应力 Barkhausen噪声 径向基函数(RBF) MATLAB Residual Stress Barkhausen Noise Signal Radial Basis Functions (RBF) Matlab
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