复杂冗余系统的预测维修决策

doi:10.7527/S1000-6893.2015.0078

Abstract

Abstract:

The goal of this study is to propose a system reliability centered predictive maintenance strategy for complex structure systems with multiple redundant components and multiple states. GO methodology is applied to building the system reliability analysis model, Markov process method is used to obtain the state transition equation of components' reliability parameters changing over time, and subsequently the computing processes for dynamic reliability of components and system are presented and detailed. In order to quantify the maintenance important degree of components, a concept of maintenance priority number (MPN) is introduced here, which may comprehensively balance three importance evaluation factors, including component degradation degree, maintenance cost and the impact on system reliability. Maintenance time is determined by judging whether system reliability is up to setting threshold, maintenance sequence is determined by components MPN; meanwhile maintenance scope and the corresponding measures are optimized by an established maintenance unit time cost model. Finally, the proposed method is applied to some strap-down inertial system (SINS) and the simulation results show that the proposed predictive maintenance strategy is feasible and effective.

Key words: predictive maintenance, complex redundant system, maintenance optimization, GO methodology, dynamic reliability

CLC Number:

JIANG Xiuhong, DUAN Fuhai, LI Yufeng. Predictive maintenance strategy for complex redundant system[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2015, 36(11): 3666-3677.

References

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Predictive maintenance strategy for complex redundant system

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