Dynamic Reliability Maintenance for Complex Systems using the Survival Signature

doi:10.23940/ijpe.19.05.p10.13431351

Abstract

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.

Key words: survival signature, Weibull distribution, Bayesian updating, residual life distribution, relative importance index

Jiaojiao Guo and Hailin Feng. Dynamic Reliability Maintenance for Complex Systems using the Survival Signature [J]. Int J Performability Eng, 2019, 15(5): 1343-1351.

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