Projects per year
Abstract
This article proposes two types of degradation models that are suitable for describing multivariate degrading systems subject to time-variant covariates and imperfect maintenance activities. A multivariate Wiener process is constructed as a baseline model, on top of which two types of models are developed to meaningfully characterize the time-variant covariates and imperfect maintenance effects. The underlying difference between the two models lies in the way of capturing the influences of covariates and maintenance: The first model reflects these impacts in the degradation rates/paths directly, whereas the second one describes the impacts by modifying the time scales governing the degradation processes. In each model, two particular imperfect maintenance models are presented, which differ in the extent of reduction in degradation level or virtual age. The two degradation models are then compared in certain special cases. The proposed multivariate degradation models pertain to complex industrial systems whose health deterioration can be characterized by multiple performance characteristics and can be altered or affected by maintenance activities and operating/environmental conditions.
| Original language | English |
|---|---|
| Pages (from-to) | 592-611 |
| Number of pages | 20 |
| Journal | Applied Stochastic Models in Business and Industry |
| Volume | 37 |
| Issue number | 3 |
| Online published | 10 Dec 2020 |
| DOIs | |
| Publication status | Published - May 2021 |
Research Keywords
- degradation path adjustment
- imperfect maintenance
- multivariate Wiener process
- piecewise constant covariates
- time scale adjustment
Publisher's Copyright Statement
- COPYRIGHT TERMS OF DEPOSITED POSTPRINT FILE: This is the peer reviewed version of the following article: L., Bérenguer, C., & Xie, M. (2021). Modeling multivariate degradation processes with time-variant covariates and imperfect maintenance effects. Applied Stochastic Models in Business and Industry, 37(3), 592-611, which has been published in final form at https://doi.org/10.1002/asmb.2600.
- This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited.
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Dive into the research topics of 'Modeling multivariate degradation processes with time-variant covariates and imperfect maintenance effects'. Together they form a unique fingerprint.Projects
- 3 Finished
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GRF: Importance Analysis and Maintenance Decisions of Complex Systems with Dependent Components
XIE, M. (Principal Investigator / Project Coordinator) & Parlikad, A. K. (Co-Investigator)
1/11/19 → 23/04/24
Project: Research
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FR/HKJRS: Modelling and Assessment of the Joint Effect of Ageing, Maintenance and Heterogeneity on Repairable System Reliability
XIE, M. (Principal Investigator / Project Coordinator) & Gaudoin, O. (Co-Investigator)
1/01/19 → 28/06/24
Project: Research
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TBRS: Safety, Reliability, and Disruption Management of High Speed Rail and Metro Systems
XIE, M. (Principal Investigator / Project Coordinator), BENSOUSSAN, A. (Co-Principal Investigator), LO, S. M. (Co-Principal Investigator), SHOU, B. (Co-Principal Investigator), SINGPURWALLA, N. D. (Co-Principal Investigator), TSE, W. T. P. (Co-Principal Investigator), TSUI, K. L. (Co-Principal Investigator), YU, Y. (Co-Principal Investigator), YUEN, K. K. R. (Co-Principal Investigator), CHAN, A. B. (Co-Investigator), CHAN, N.-H. (Co-Investigator), CHIN, K. S. (Co-Investigator), CHOW, H. A. (Co-Investigator), Chow, W. K. (Co-Investigator), EDESESS, M. (Co-Investigator), GOLDSMAN, D. M. (Co-Investigator), Huang, J. (Co-Investigator), LEE, W. M. (Co-Investigator), LI, L. (Co-Investigator), LI, C. L. (Co-Investigator), LING, M. H. A. (Co-Investigator), LIU, S. (Co-Investigator), MURAKAMI, J. (Co-Investigator), NG, S. Y. S. (Co-Investigator), NI, M. C. (Co-Investigator), TAN, M.H.-Y. (Co-Investigator), Wang, W. (Co-Investigator), Wang, J. (Co-Investigator), WONG, C. K. (Co-Investigator), WONG, S. Y. Z. (Co-Investigator), WONG, S. C. (Co-Investigator), Xu, Z. (Co-Investigator), ZHANG, Z. (Co-Investigator), Zhang, D. (Co-Investigator), ZHAO, J. L. (Co-Investigator) & Zhou, Q. (Co-Investigator)
1/01/16 → 31/12/21
Project: Research