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.
ZHOU Hang1,2 (周行), LI Xiangyu1 (李翔宇), HUANG Hongzhong1* (黄洪钟)
. Approximate Method for Reliability Assessment of Complex Phased Mission Systems[J]. Journal of Shanghai Jiaotong University(Science), 2017
, 22(2)
: 247
-251
.
DOI: 10.1007/s12204-017-1828-2
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