上海交通大学学报（英文版） ›› 2017, Vol. 22 ›› Issue (2): 247-251.doi: 10.1007/s12204-017-1828-2

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Approximate Method for Reliability Assessment of Complex Phased Mission Systems

ZHOU Hang1,2 (周行), LI Xiangyu1 (李翔宇), HUANG Hongzhong1* (黄洪钟)   

  1. (1. Center for System Reliability and Safety, University of Electronic Science and Technology of China, Chengdu 611731, China; 2. School of Computer Engineering, Chengdu Technological University, Chengdu 611731, China)
  • 出版日期:2017-03-31 发布日期:2017-04-04
  • 通讯作者: HUANG Hongzhong (黄洪钟) E-mail:hzhuang@uestc.edu.cn

Approximate Method for Reliability Assessment of Complex Phased Mission Systems

ZHOU Hang1,2 (周行), LI Xiangyu1 (李翔宇), HUANG Hongzhong1* (黄洪钟)   

  1. (1. Center for System Reliability and Safety, University of Electronic Science and Technology of China, Chengdu 611731, China; 2. School of Computer Engineering, Chengdu Technological University, Chengdu 611731, China)
  • Online:2017-03-31 Published:2017-04-04
  • Contact: HUANG Hongzhong (黄洪钟) E-mail:hzhuang@uestc.edu.cn

摘要： Phased-mission systems (PMSs) have wide applications in engineering practices, such as manmade satellites. Certain critical parts in the system, such as cold standby, hot standby and functional standby, are designed in redundancy architecture to achieve high reliability performance. State-space models such as Markov process have been used extensively in previous studies for reliability evaluation of PMSs with dynamic behaviors. The most popular way to deal with the dynamic behaviors is Markov process, but it is well known that Markov process is limited to exponential distribution. In practice, however, the lifetime of most machinery products can follow non-exponential distributions like the Weibull distribution which cannot be handled by the Markov process. In order to solve this kind of problem, we present a semi-Markov model combined with an approximation algorithm to analyze PMS reliability subjected to non-exponential failures. Furthermore, the accuracy of the approximation algorithm is investigated by comparing to an accurate solution, and a typical PMS (attitude and orbit control system) is analyzed to demonstrate the implementation of the method.

关键词: phased mission system (PMS), dynamic behaviors, approximation method, semi-Markov process

Abstract: Phased-mission systems (PMSs) have wide applications in engineering practices, such as manmade satellites. Certain critical parts in the system, such as cold standby, hot standby and functional standby, are designed in redundancy architecture to achieve high reliability performance. State-space models such as Markov process have been used extensively in previous studies for reliability evaluation of PMSs with dynamic behaviors. The most popular way to deal with the dynamic behaviors is Markov process, but it is well known that Markov process is limited to exponential distribution. In practice, however, the lifetime of most machinery products can follow non-exponential distributions like the Weibull distribution which cannot be handled by the Markov process. In order to solve this kind of problem, we present a semi-Markov model combined with an approximation algorithm to analyze PMS reliability subjected to non-exponential failures. Furthermore, the accuracy of the approximation algorithm is investigated by comparing to an accurate solution, and a typical PMS (attitude and orbit control system) is analyzed to demonstrate the implementation of the method.

Key words: phased mission system (PMS), dynamic behaviors, approximation method, semi-Markov process

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