Reliability Analysis of the High-speed Train Bearing Based on Wiener Process-Reference-Cited by-同舟云学术

Reliability Analysis of the High-speed Train Bearing Based on Wiener Process

Published:2018-01-12 Issue:1 Volume:9 Page:15
ISSN:2078-2489
Container-title:Information
language:en
Short-container-title:Information

Author:

Zhu Dexin,Nan Cui

Publisher

MDPI AG

Subject

Information Systems

Link

http://www.mdpi.com/2078-2489/9/1/15/pdf

Reference17 articles.

1. Estimating Remaining Useful Life With Three-Source Variability in Degradation Modeling

2. Extremely small sample’s reliability of motorized spindle based on Bayes method;Jiang;J. Vib. Shock,2015

3. Residual Lifetime Prediction Method with Random Degradation and Information Fusion;Cai;J. Shanghai Jiao Tong Univ.,2016

4. A Prognostic Model for Stochastic Degrading Systems With State Recovery: Application to Li-Ion Batteries

5. Remaining Useful Life Estimation for Nonlinear Stochastic Degrading Systems with Uncertain Measurement and Unit-to-unit Variability;Zheng;Acta Autom. Sin.,2017

Cited by 4 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-driven dynamic adaptive replacement policy for units subject to heterogeneous degradation;Computers & Industrial Engineering;2022-09

2. An adaptive prediction approach for rolling bearing remaining useful life based on multistage model with three-source variability;Reliability Engineering & System Safety;2022-02

3. A novel Switching Unscented Kalman Filter method for remaining useful life prediction of rolling bearing;Measurement;2019-03

4. Research on Reliability Assessment of Mechanical Equipment Based on the Performance–Feature Model;Applied Sciences;2018-09-12