Systems Engineering and Electronics ›› 2020, Vol. 42 ›› Issue (5): 1190-1196.doi: 10.3969/j.issn.1001-506X.2020.05.29

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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)

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

CLC Number: 

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