Train wheel degradation generation and prediction based on the time series generation adversarial network-Reference-Cited by-同舟云学术

Train wheel degradation generation and prediction based on the time series generation adversarial network

Published:2023-01 Issue: Volume:229 Page:108816
ISSN:0951-8320
Container-title:Reliability Engineering & System Safety
language:en
Short-container-title:Reliability Engineering & System Safety

Author:

Shangguan Anqi,Xie Guo^ORCID,Fei Rong,Mu Lingxia,Hei Xinhong

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality

Reference34 articles.

1. An optimal reprofiling policy for high-speed train wheels subject to wear and external shocks using a semi-Markov decision process;Mingcheng;IEEE Trans. Rel.,2018

2. The performance analysis of the “train-rail” grounding system for high-speed trains considering circumflux and train body voltage;Xiao;IEEE Transactions on Vehicular Technology,2021

3. Wheel flat detection in high-speed railway systems using fiber bragg gratings;Filograno;IEEE Sensors Journal,2013

4. Modeling the impact on wheel sensor readouts by eddy current brakes installed in high-speed trains;Valderas;IEEE Transactions on Vehicular Technology,2021

5. An Optimal Life Cycle Reprofiling Strategy of Train Wheels Based on Markov Decision Process of Wheel Degradation;Zeng;Reliability Engineering & System Safety,2022

Cited by 19 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. Data augmentation based on diffusion probabilistic model for remaining useful life estimation of aero-engines;Reliability Engineering & System Safety;2024-12

2. Data augmentation aided excavator activity recognition using deep convolutional conditional generative adversarial networks;Advanced Engineering Informatics;2024-10

3. A random-effect Wiener process degradation model with transmuted normal distribution and ABC-Gibbs algorithm for parameter estimation;Reliability Engineering & System Safety;2024-10

4. Multivariable degradation modeling and life prediction using multivariate fractional Brownian motion;Reliability Engineering & System Safety;2024-08

5. A novel method for fault diagnosis of fluid end of drilling pump under complex working conditions;Reliability Engineering & System Safety;2024-08