Interval availability for complex system based on mixed maintenance strategy

被引：1

作者：

Li J. ^{[1
]}

Zhu H. ^{[1
]}

Wang L. ^{[1
]}

机构：

[1] Qingdao Campus of Naval Aeronautics University, Qingdao

来源：

Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2020年 / 42卷 / 05期

关键词：

Availability; Imperfect maintenance; Preventive maintenance; Reliability;

D O I：

10.3969/j.issn.1001-506X.2020.05.29

中图分类号：

学科分类号：

摘要：

The Markov process method can only calculate the system availability when the failure time and the maintenance time obey exponential distribution, and the renew process can only calculate the system availability with the limitation that the failure time and the maintenance time obey independent identical distribution. In addition, the existing availability model does not consider the effect of multiple maintenance strategies and environmental factors simultaneously. A system availability model for the complex system under the mixed maintenance strategy is presented, which assumes that the system failure and maintenance time can be arbitrarily distributed, and different failure modes can take different maintenance strategies. Specifically, when calculating the system downtime for the system, the preventive maintenance, corrective maintenance time and delay time are all considered. Then the proposed method is verified by taking an UAV control system as an example. The key components of the system obey Weibull distribution with different parameters, and the system maintenance time and delay time obey the normal distribution. The results show that the proposed method is feasible and correct, and can be used to optimize the preventive maintenance period and the design of the general quality characteristics indicator threshold, as well as performance trade-offs based on availability. © 2020, Editorial Office of Systems Engineering and Electronics. All right reserved.

引用

页码：1190 / 1196

页数：6

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