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Volume 42 Issue 6
Jun.  2016
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Journal of Beijing University of Aeronautics and Astronautics  > 2016  >  42(6): 1185-1194.
PAN Gang, SHANG Chaoxuan, LIANG Yuying, et al. Reliability evaluation of radar power amplification system considering epistemic uncertainty[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(6): 1185-1194. doi: 10.13700/j.bh.1001-5965.2015.0390(in Chinese)
Citation: PAN Gang, SHANG Chaoxuan, LIANG Yuying, et al. Reliability evaluation of radar power amplification system considering epistemic uncertainty[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(6): 1185-1194. doi: 10.13700/j.bh.1001-5965.2015.0390(in Chinese)
shu

Reliability evaluation of radar power amplification system considering epistemic uncertainty

doi: 10.13700/j.bh.1001-5965.2015.0390

  • Department of Electronic and Optic Engineering, Ordnance Engineering College, Shijiazhuang 050003, China

  • Received Date: 15 Jun 2015
  • Publish Date: 20 Jun 2016
    Abstract
  • There is epistemic uncertainty in degradation law of a high-reliability component because it is hard to obtain its adequate performance data within a short time,and system reliability cannot be accurately estimated. For the purpose of accurate estimation of system reliability,assuming that the component performance distribution parameter was the interval variable,a component' performance parameter distribution model was built based on interval parameter variable and a computational method of the interval-valued state probability was provided. The boundary of the state performance interval was compensated,the interval-valued universal generating function and its algorithm were defined,an assessment method of interval-valued reliability of the multi-state system in consideration of epistemic uncertainty was proposed,and the reliability of a power amplification system was analyzed. This method not only avoids the lack of distribution information of the performance parameters,but also accurately builds a distribution model of the performance parameters. Therefore,it is widely used in engineering.

     

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