IMECH-IR  > 非线性力学国家重点实验室
Wheel Wear Prediction of High-Speed Train Using NAR and BP Neural Networks
Fan N; Wang SW; Liu CX; Liu XM(刘小明)
Source Publication2017 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)
2017
Conference NameEEE 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)
Conference DateJUN 21-23, 2017
Conference PlaceExeter, ENGLAND
AbstractIn 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.
KeywordBig Data Wheel Wear Variance Analysis Nar Neural Network Prediction
WOS IDWOS:000426972400018
Funding OrganizationThe authors gratefully acknowledge the financial support from the National Natural Science Foundation of China (No. 51275126).
ISBN978-1-5386-3066-2
URL查看原文
Indexed ByCPCI-S ; EI
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://dspace.imech.ac.cn/handle/311007/75556
Collection非线性力学国家重点实验室
Recommended Citation
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],2017.
Files in This Item: Download All
File Name/Size DocType Version Access License
CPCI2017011.pdf(753KB)会议论文 开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Fan N]'s Articles
[Wang SW]'s Articles
[Liu CX]'s Articles
Baidu academic
Similar articles in Baidu academic
[Fan N]'s Articles
[Wang SW]'s Articles
[Liu CX]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Fan N]'s Articles
[Wang SW]'s Articles
[Liu CX]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: CPCI2017011.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.