Multi-state System Reliability Modeling and Optimization with Considering Dynamic Load Distribution Mechanism

doi:10.3901/JME.2016.06.197

Abstract

Abstract: Multi-state is one of the characteristics of advanced manufacturing systems and complex engineered systems. Multi-state reliability theory has received considerable attentions in recent years as it is able to characterize the complicated deteriorating process of systems in a finer fashion. Nevertheless, the most reported works on multi-state system reliability modelling and assessment are developed on the premise that the failure processes between any pair of components are statistically independent. In engineering practices, dependency among components of a system is inevitable. By using Markov models, a new reliability model for multi-state systems is developed to take account of the load distribution mechanism between components. The relation among the load imposed on components, reliability of the entire system, and system structure is examined. On the basis of the proposed reliability model, a two-stage genetic algorithm is put forth to optimize the dynamic load distribution strategy and system configuration in a joint manner to achieve better system reliability measures.

Key words: dynamic load distribution, genetic algorithm, Markov model, multi-state systems, reliability modeling

CLC Number:

TB114

LIU Yu, LI Xiangyu, ZHANG Xiaohu. Multi-state System Reliability Modeling and Optimization with Considering Dynamic Load Distribution Mechanism[J]. Journal of Mechanical Engineering, 2016, 52(6): 197-205.

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