系统工程与电子技术 ›› 2020, Vol. 42 ›› Issue (5): 1190-1196.doi: 10.3969/j.issn.1001-506X.2020.05.29

• 可靠性 • 上一篇    下一篇

考虑混合维修策略的复杂系统区间可用度

李军亮(), 祝华远*(), 王利明(), 王灵芝()   

  1. 海军航空大学青岛校区, 山东 青岛 266041
  • 收稿日期:2019-10-28 出版日期:2020-04-30 发布日期:2020-04-30
  • 通讯作者: 祝华远 E-mail:navy_air523@126.com;zhuhy0532@126.com;Djs01@126.com;wlz0104088@163.com
  • 作者简介:李军亮 (1982-),男,讲师,博士,主要研究方向为航空装备综合保障、复杂系统通用质量特性设计与优化。E-mail:navy_air523@126.com|王利明 (1978-),男,副教授,硕士,主要研究方向为航空装备综合保障。E-mail:Djs01@126.com|王灵芝 (1982-),男,讲师,硕士,主要研究方向为航空装备综合保障。E-mail:wlz0104088@163.com
  • 基金资助:
    国家自然科学基金(51375490);中国博士后科学基金(2019M653929)

Interval availability for complex system based on mixed maintenance strategy

Junliang LI(), Huayuan ZHU*(), Liming WANG(), Lingzhi WANG()   

  1. Qingdao Campus of Naval Aeronautics University, Qingdao 266041, China
  • Received:2019-10-28 Online:2020-04-30 Published:2020-04-30
  • Contact: Huayuan ZHU E-mail:navy_air523@126.com;zhuhy0532@126.com;Djs01@126.com;wlz0104088@163.com
  • Supported by:
    国家自然科学基金(51375490);中国博士后科学基金(2019M653929)

摘要:

针对马尔可夫过程只能计算故障时间和维修时间服从指数分布、更新过程只能计算故障时间和维修时间服从独立同分布系统可用度的局限,以及现有可用度模型没有同时考虑不同维修策略和环境因子对系统可用性的影响的现状,构建了一种考虑混合维修策略和使用环境的复杂系统的区间可用度模型。该模型假设系统的故障和维修时间服从任意分布,不同的故障模式采取不同的维修策略。计算系统停机时间时,考虑了系统的预防性维修时间、修复性维修时间和保障延误时间。以某型无人机控制系统为例,对设计方法进行了验证。系统关键部件服从不同参数的威布尔分布,系统维修时间和延误时间均服从正态分布。结果表明,设计方法可行、正确,可为基于可用度的预防性维修周期优化、效能权衡和通用质量特性指标阈值设计提供技术支撑。

关键词: 可用度, 可靠度, 不完全维修, 预防性维修

Abstract:

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.

Key words: availability, reliability, imperfect maintenance, preventive maintenance

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