共因失效条件下多状态系统选择性维修优化

doi:10.7527/S1000-6893.2017.221556

Abstract

Abstract: Common Cause Failure (CCF) exists extensively in the Multi-State System (MSS). It is of great significance to investigate the maintenance optimization for the MSS subject to CCF to improve the probability of mission success and reduce the failure cost of the system. Taking into account the fuzzy properties of the multi-state system, mission profile and Random Common Cause Failure(RCCF), an analytic model (AM) is proposed to evaluate the mission success probability of the fuzzy multi-state system (FMSS) subject to RCCF based on the Fuzzy Markov Model (FMM) and Fuzzy Universal Generating Function (FUGF), and its validity is verified by the well-known Monte Carlo Simulation (MCS) method. Based on the proposed model, a selective maintenance optimization model for the FMSS considering the maintenance cost constraint is developed, and the optimal maintenance option is obtained. An illustrative example is presented to demonstrate the effectiveness of the proposed selective maintenance model, and the effects of the RCCF on the results of selective maintenance optimization and system state probability are analyzed. The results show that the RCCF and the α-cut level of the fuzzy number may affect the result of selective maintenance optimization, and neglecting the RCCF will cause overestimate of the mission success probability of the system.

Key words: Fuzzy Multi-State System (FMSS), fuzzy random common cause failure, selective maintenance, Fuzzy Markov Model (FMM), Fuzzy Universal Generating Function (FUGF)

CLC Number:

V233
TB114.3

CAO Wenbin, JIA Xisheng, HU Qiwei. Selective maintenance optimization for multi-state systems subject to common cause failures[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2018, 39(2): 221556-221556.

References

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Selective maintenance optimization for multi-state systems subject to common cause failures

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