Volume 39, Number 2, April 2021
|Page(s)||439 - 447|
|Published online||09 June 2021|
Competitive failure analysis of a stochastic degradation system based on performance characteristics fusion
College of Mathematics and Computer Science, Yan'an University, Yan'an 716000, China
2 School of Mechanical Engineering, Northwestern Polytechnical University, Xi'an 710072, China
With the aim of solving the reliability modeling and calculation of multivariate stochastic degradation systems, two stochastic degradation models based on the bivariate Wiener process are proposed, in which two performance characteristics are composited to one variable. Two different failure modes including the defect-based failure and the duration-based failure are considered. The explicit expressions of the system reliability are derived in the cases that the performance characteristics are not composited or the performance characteristics are composited according to the linear combination of the degradation measurements. An algorithm based on the Monte Carlo simulation is proposed to simulate the degradation process, in which the performance characteristics are composited in arbitrary forms, and the correctness of the analytical results is also verified. Finally, some numerical examples are presented to illustrate the present reliability assessment method。
Key words: degradation system / Wiener process / defect-based failure / duration-based failure / reliability
关键字 : 随机退化系统 / Wiener过程 / 退化失效 / 持续时间失效 / 可靠性
© 2021 Journal of Northwestern Polytechnical University. All rights reserved.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.