| 高速动车组空心车轴的缺陷预测方法研究 |
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| 引用本文： | 张登锋,孟晓丽. 高速动车组空心车轴的缺陷预测方法研究[J]. 机械设计与制造, 2010, 0(3) |
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| 作者姓名： | 张登锋 孟晓丽 |
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| 作者单位： | 兰州交通大学,兰州,730070 |
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| 摘 要： | 结合了主成分分析和人工神经网络的优点,提出一种基于PCA算法的人工神经网络模型(PCA-ANN模型)来分析高速动车组空心车轴的缺陷。通过算例验证了方法的可行性。
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| 关 键 词： | 高速动车组 空心车轴 主成分分析 神经网络 |
Prediction of the defect of hollow axle shaft of high-speed Multiple Unit train |
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| ZHANG Deng-feng,MENG Xiao-li. Prediction of the defect of hollow axle shaft of high-speed Multiple Unit train[J]. Machinery Design & Manufacture, 2010, 0(3) |
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| Authors: | ZHANG Deng-feng MENG Xiao-li |
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| Affiliation: | Lanzhou Jiaotong University/a>;Lanzhou 730070/a>;China |
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| Abstract: | By the advantage of Principal Component Analysis and Artificial Neural Networks,a kind of Artificial Neural Networks model(PCA-ANN mode)lbased on PCA algorithm is put forward to analyze the defect of the hollow axle shaft of high-speed train. The case study carried out shows that the algorithm is feasible. |
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| Keywords: | High-speed multiple unit train Hollow axle shaft Principal component analysis Artificial neural networks |
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