Wheel Wear Prediction of High-Speed Train Using NAR and BP Neural Networks
文献类型：会议论文
| 作者 | Fan N; Wang SW; Liu CX; Liu XM(刘小明)
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| 出版日期 | 2017 |
| 会议日期 | JUN 21-23, 2017 |
| 会议地点 | Exeter, ENGLAND |
| 关键词 | Big Data Wheel Wear Variance Analysis Nar Neural Network Prediction |
| 英文摘要 | In this paper, the field measured wheel wear data of high-speed trains are studied by variance analysis, and prediction models are developed using NAR and BP neural networks. The results show that the wheel position has a significant effect on the wheel wear, and the position of the carriage has little influence on the wheel wear. The NAR neural network can be used to predict the dynamic change of wheel diameter and therefore to predict the wheel wear of high-speed trains. The wheel diameter data are classified and the range of wheel wear can be predicted by means of training the BP neural network. |
| 资助机构 | The authors gratefully acknowledge the financial support from the National Natural Science Foundation of China (No. 51275126). |
| 会议录 | 2017 IEEE INTERNATIONAL CONFERENCE ON INTERNET OF THINGS (ITHINGS) AND IEEE GREEN COMPUTING AND COMMUNICATIONS (GREENCOM) AND IEEE CYBER, PHYSICAL AND SOCIAL COMPUTING (CPSCOM) AND IEEE SMART DATA (SMARTDATA)
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| 语种 | 英语 |
| URL标识 | 查看原文 |
| ISBN号 | 978-1-5386-3066-2 |
| WOS记录号 | WOS:000426972400018 |
| 源URL | [http://dspace.imech.ac.cn/handle/311007/75556]  |
| 专题 | 力学研究所_非线性力学国家重点实验室 |
| 推荐引用方式 GB/T 7714 | Fan N,Wang SW,Liu CX,et al. Wheel Wear Prediction of High-Speed Train Using NAR and BP Neural Networks[C]. 见:. Exeter, ENGLAND. JUN 21-23, 2017. |
入库方式： OAI收割
来源：力学研究所
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