OORNet: A deep learning model for on-board condition monitoring and fault diagnosis of out-of-round wheels of high-speed trains-Reference-Cited by-同舟云学术

OORNet: A deep learning model for on-board condition monitoring and fault diagnosis of out-of-round wheels of high-speed trains

Published:2022-08 Issue: Volume:199 Page:111268
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Ye Yunguang^ORCID,Zhu Bin^ORCID,Huang Ping^ORCID,Peng Bo

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference63 articles.

1. Out-of-round railway wheels-a literature survey;Nielsen;Proc. Inst. Mech. Eng., Part F: J. Rail Rapid Transit,2000

2. Mechanisms of railway wheel polygonization;Peng;University of Huddersfield.,2020

3. A review of health and operation monitoring technologies for trains;Chong;Smart Struct. Syst.,2010

4. Cost-driven and reliability-driven analysis of wagon condition data (INNOWAG project);Regazzi;European Commission.,2019

5. C. Song, W. Shen, X. Li, L. Cui, Research on factors affecting wheel out-of-roundness and suppression measures for CRH 3 trainsets, China Railway (2017) 33-40. (In Chinese) doi:10.19549/j.issn.1001-683x.2017.11.033.

Cited by 61 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Vibration environment spectrum investigation of metro bogie frame end;Engineering Failure Analysis;2024-03

2. Suppression of Railway Catenary Galloping Based on Structural Parameters’ Optimization;Sensors;2024-02-02

3. Study on the mechanism of wheel asymmetric wear of heavy-haul freight vehicles;Tribology Transactions;2024-01-29

4. Hybrid machine condition monitoring based on interpretable dual tree methods using Wasserstein metrics;Expert Systems with Applications;2024-01

5. Evolution analysis of wheel polygon wear considering the effect of interharmonics in electrical traction drive system;Mechanism and Machine Theory;2024-01