Degradation analysis with nonlinear exponential‐dispersion process: Bayesian offline and online perspectives-Reference-Cited by-同舟云学术

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Degradation analysis with nonlinear exponential‐dispersion process: Bayesian offline and online perspectives

Published:2022-08-08 Issue:7 Volume:38 Page:3844-3866
ISSN:0748-8017
Container-title:Quality and Reliability Engineering International
language:en
Short-container-title:Quality & Reliability Eng

Author:

Ding Yi¹²,Zhu Rong¹,Peng Weiwen¹,Xie Min²³

Affiliation:

1. School of Intelligent Systems Engineering Shenzhen Campus of Sun Yat‐sen University Shenzhen China

2. Department of Advanced Design and Systems Engineering City University of Hong Kong Hong Kong China

3. School of Data Science City University of Hong Kong Hong Kong China

Funder

Shenzhen Fundamental Research Program

National Natural Science Foundation 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.3179

Reference43 articles.

1. A Review on Prognostics Methods for Engineering Systems

2. Failure Prognosis and Applications—A Survey of Recent Literature

3. Using degradation-with-jump measures to estimate life characteristics of lithium-ion battery

4. Remaining Useful Life Prediction of Lithium-ion Batteries Based on Wiener Process Under Time-Varying Temperature Condition

5. A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings

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2. A Physics-Based Tweedie Exponential Dispersion Process Model for Metal Fatigue Crack Propagation and Prognostics;Processes;2024-04-23

3. Log‐location‐scale increment degradation model: A Bayesian perspective;Quality and Reliability Engineering International;2024-03-27

4. Performance reliability degradation analysis and lifetime prediction based on generalized normal grey cloud Bayesian Wiener process;Quality and Reliability Engineering International;2024-01-24

5. Direct position updating‐based trying‐mutation particle swarm optimization algorithm and its application on reliability optimization;Quality and Reliability Engineering International;2023-03-15

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