M. Chang
Reliability analysis for systems based on degradation rates and hard failure thresholds changing with degradation levels
Chang, M.; Huang, X.; Coolen, F.P.A.; Coolen-Maturi, T.
Authors
X. Huang
Professor Frank Coolen frank.coolen@durham.ac.uk
Professor
Dr Tahani Coolen-Maturi tahani.maturi@durham.ac.uk
Associate Professor
Abstract
Degradation-shock failure processes widely exist in practice, and extensive work has been carried out to better describe such processes. In this paper, a new model is developed for reliability analysis of systems subject to dependent degradation-shock failure processes. The proposed model extends the previous work by considering the effects of the degradation levels on both the degradation rates and the hard failure thresholds. Instead of shifting with the shock levels, the degradation rates are supposed to increase with the degradation levels, and the hard failure thresholds decrease when the system deteriorates to certain levels. Then, the general reliability functions for the systems subject to multi-state degradation are provided, after deriving the reliability formulas for the systems with two state degradation. In addition, the accuracy of the proposed methods is verified by Monte-Carlo simulation. Finally, a numerical example is presented to illustrate the validity of the presented model, and analytical results of the proposed model are compared with previous work. The results indicate that the presented method offers a more realistic system reliability evaluation.
Citation
Chang, M., Huang, X., Coolen, F., & Coolen-Maturi, T. (2021). Reliability analysis for systems based on degradation rates and hard failure thresholds changing with degradation levels. Reliability Engineering & System Safety, 216, Article 108007. https://doi.org/10.1016/j.ress.2021.108007
Journal Article Type | Article |
---|---|
Acceptance Date | Aug 18, 2021 |
Online Publication Date | Sep 1, 2021 |
Publication Date | 2021-12 |
Deposit Date | Aug 19, 2021 |
Publicly Available Date | Sep 2, 2023 |
Journal | Reliability Engineering and System Safety |
Print ISSN | 0951-8320 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 216 |
Article Number | 108007 |
DOI | https://doi.org/10.1016/j.ress.2021.108007 |
Public URL | https://durham-repository.worktribe.com/output/1243692 |
Files
Accepted Journal Article
(1.7 Mb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by-nc-nd/4.0/
Copyright Statement
© 2021 This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
You might also like
Logic Differential Calculus for Reliability Analysis Based on Survival Signature
(2022)
Journal Article
A Cost-Sensitive Imprecise Credal Decision Tree based on Nonparametric Predictive Inference
(2022)
Journal Article
Pricing exotic options in the incomplete market: an imprecise probability method
(2022)
Journal Article
Counterfactual explanation of machine learning survival models
(2021)
Journal Article
Statistical reproducibility for pairwise t-tests in pharmaceutical research
(2021)
Journal Article
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search