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Bayesian estimation for mean life of emergency power system

ZHAO Quan, GE Hongjuan, ZHANG Lu, LIN Yi   

  1. (College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China)
  • Received:2016-05-20 Revised:2016-07-06 Online:2017-06-15 Published:2017-07-11

Abstract:

A tool combining with components stress analysis and synthetic E-Bayes theory is proposed to deal with the mean life of complex aeronautical electronics with the intention to handle the nondecoupling for the inputs of traditional synthetic E-Bayes. It is done with the truncation time of terminated testing as zero-failure data and the result of the components stress analysis as the failure data which is aimed to solve the direct dependence on zero-failure data and little relationship with practical performance for failure data. The computational formula of the mean life is deduced when the tool is used in the emergency power system of C919 airplane. To research the robustness, this tool is compared with the traditional synthetic expected Bayesian. As a result, the foregoing shows a better robustness.

Key words: mean life, synthetic E-Bayes, component stress analysis, terminated testing, robustness

CLC Number: