Two‐stage degradation modeling for remaining useful life prediction based on the Wiener process with measurement errors-Reference-Cited by-同舟云学术

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Two‐stage degradation modeling for remaining useful life prediction based on the Wiener process with measurement errors

Published:2022-06-14 Issue:7 Volume:38 Page:3485-3512
ISSN:0748-8017
Container-title:Quality and Reliability Engineering International
language:en
Short-container-title:Quality & Reliability Eng

Author:

Guan Qingluan¹²^ORCID,Wei Xiukun¹,Bai Wenfei³,Jia Limin¹

Affiliation:

1. State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing People's Republic of China

2. School of Traffic and Transportation Beijing Jiaotong University Beijing People's Republic of China

3. Beijing Mass Transit Railway Operation Corporation LTD Beijing People's Republic of China

Publisher

Wiley

Subject

Management Science and Operations Research,Safety, Risk, Reliability and Quality

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/qre.3147

Reference33 articles.

1. Prognostics and Health Management of Electronics

2. Remaining useful life estimation – A review on the statistical data driven approaches

3. Stochastic modelling and analysis of degradation for highly reliable products

4. Residual-life distributions from component degradation signals: A Bayesian approach

5. A model for residual life prediction based on Brownian motion with an adaptive drift

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1. Electrochemical performance monitoring and degradation modeling method for organic coating systems: Integrating three-phase Wiener process and kinetic models;Measurement;2025-01

2. Remaining useful life prediction based on multi-stage Wiener process and Bayesian information criterion;Computers & Industrial Engineering;2024-10

3. A novel RUL prediction method for rolling bearings based on dynamic control chart and adaptive incremental filtering;Measurement Science and Technology;2024-08-01

4. Reliability analysis of inverse Gaussian processes with two-stage degenerate paths;Heliyon;2024-07

5. Remaining useful life prediction using nonlinear multi-phase Wiener process and variational Bayesian approach;Reliability Engineering & System Safety;2024-02

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