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International Journal of Frontiers in Engineering Technology, 2022, 4(6); doi: 10.25236/IJFET.2022.040614.

Research and Application of System Reliability Allocation based on Markov Chain


Hang Lv, Xu Zhang, Feiyu Xu

Corresponding Author:
​Hang Lv

School of Business Administration, Henan Polytechnic University, Jiaozuo 454000, Henan, China


In order to maximize the reliability of a weapon system, a continuous time Markov method is used to allocate the system reliability redundancy. The choice of reliability redundancy strategy is considered as a decision variable, which strives to maximize the reliability of the system under the constraints of cost, weight and volume. In many model applications studied in the past, each system generally adopts a single active redundancy strategy or cold standby redundancy strategy. In the model cited in this paper, each subsystem can adopt the selective redundancy strategy of active or cold standby components, increasing the flexibility of the redundancy strategy, and establishing the precise reliability function for the system using the selective redundancy strategy through the continuous time Markov chain. Because reliability redundancy assignment is a nonlinear mixed integer programming problem, a pseudo-parallel genetic algorithm is designed to solve the model. Finally, the results show that the reliability of the weapon system is significantly improved.


System reliability allocation; Weapon system; Reliability function; Genetic algorithm

Cite This Paper

Hang Lv, Xu Zhang, Feiyu Xu. Research and Application of System Reliability Allocation based on Markov Chain. International Journal of Frontiers in Engineering Technology (2022), Vol. 4, Issue 6: 94-99. https://doi.org/10.25236/IJFET.2022.040614.


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