Document Type
Article
Publication Date
2023
DOI
10.17531/ein/162011
Publication Title
Eksploatacja i Niezawodność - Maintenance and Reliability
Volume
25
Issue
2
Pages
162011 (1-12)
Abstract
Maintenance can improve a system’s reliability in a long operation period or when a component has failed. The reliability modeling method that uses the stochastic process degradation model to describe the system degradation process has been widely used. However, the existing reliability models established using stochastic processes only consider the internal degradation process, and do not fully consider the impact of external random shocks on their reliability modeling. Furthermore, the existing theory of importance does not consider the actual factors of maintenance cost. In this paper, based on the reliability modeling of random processes, the degradation rate under the influence of random shocks is introduced into the time scale function to solve the impact of random shocks on product reliability, and two cost importance measures are proposed to guide the maintenance selection of the components under limited resources in the system.Finally, a subsystem of an aircraft hydraulic system is analyzed to verify the proposed method’s performance.
Rights
This is an open access article under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.
Original Publication Citation
Zhang, C., Zhang, Y. D., Dui, H., Wang, S. P., & Tomovic, M. M. (2023). Component maintenance strategies and risk analysis for random shock effects considering maintenance costs. Eksploatacja i Niezawodność - Maintenance and Reliability, 25(2), 1-12, Article 162011. https://doi.org/10.17531/ein/162011
Repository Citation
Zhang, Chao; Zhang, Yadong; Dui, Hongyan; Wang, Shaoping; and Tomovic, Mileta, "Component Maintenance Strategies and Risk Analysis for Random Shock Effects Considering Maintenance Costs" (2023). Engineering Technology Faculty Publications. 197.
https://digitalcommons.odu.edu/engtech_fac_pubs/197
Included in
Business Administration, Management, and Operations Commons, Operations Research, Systems Engineering and Industrial Engineering Commons, Risk Analysis Commons