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Dynamic Reliability Maintenance for Complex Systems using the Survival Signature

Volume 15, Number 5, May 2019, pp. 1343-1351
DOI: 10.23940/ijpe.19.05.p10.13431351

Jiaojiao Guo and Hailin Feng

School of Mathematics and Statistics, Xidian University, Shaanxi, Xi'an, 710071, China

(Submitted on December 10, 2018; Revised on January 12, 2019; Accepted on February 8, 2019)

Abstract:

This paper gives a system dynamic reliability maintenance that jointly considers the system residual life and relative importance. Firstly, the component failure time of the system is generated by a Weibull model with unknown shape and scale parameters, and then the two unknown parameters are updated based on the Bayesian rules. The system residual life distribution is estimated by using the theory of survival signature. A novel component relative importance is extended to identify the most critical component groups that need to be maintained. Finally, a system with two cross-linked modules is used to illustrate the usage of our research. Simulation results show that the proposed strategies are effective and convenient.

 

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