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Mathematical Problems in Engineering
Volume 2015 (2015), Article ID 726853, 10 pages
http://dx.doi.org/10.1155/2015/726853
Research Article

Reliability Analysis of Load-Sharing -out-of- System Considering Component Degradation

1School of Reliability and Systems Engineering, Beihang University, Beijing 100191, China
2Science and Technology on Reliability and Environmental Engineering Laboratory, Beijing 100191, China

Received 29 October 2014; Accepted 2 April 2015

Academic Editor: Enrico Zio

Copyright © 2015 Chunbo Yang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The -out-of- configuration is a typical form of redundancy techniques to improve system reliability, where at least -out-of- components must work for successful operation of system. When the components are degraded, more components are needed to meet the system requirement, which means that the value of has to increase. The current reliability analysis methods overestimate the reliability, because using constant ignores the degradation effect. In a load-sharing system with degrading components, the workload shared on each surviving component will increase after a random component failure, resulting in higher failure rate and increased performance degradation rate. This paper proposes a method combining a tampered failure rate model with a performance degradation model to analyze the reliability of load-sharing -out-of- system with degrading components. The proposed method considers the value of as a variable which is derived by the performance degradation model. Also, the load-sharing effect is evaluated by the tampered failure rate model. Monte-Carlo simulation procedure is used to estimate the discrete probability distribution of . The case of a solar panel is studied in this paper, and the result shows that the reliability considering component degradation is less than that ignoring component degradation.