The invention provides an active reliability analyzing and evaluating method for highly-reliable
mechanical products. The active reliability analyzing and evaluating method for the highly-reliable
mechanical products includes: firstly, establishing ultimate state functions of
mechanical products, utilizing a Monte Carlo
simulation method to produce sample points conforming to
parameter distribution, utilizing a
Kriging meta-model to simulate the ultimate state functions, improving
simulation precision and confirming an optimal sampling
radius by automatically updating DOE (design of experiment), constructing important sampling density functions, producing random sample points through the important sampling density functions, updating the DOE continually, then extracting
radius random sample points obeying chi-square distribution, confirming
failure probability and failure
coefficient of variation of the mechanical products, and limiting whether updating finishes or not by the failure
coefficient of variation so as to obtain reliability of the mechanical products finally. The active reliability analyzing and evaluating method for the highly-reliable mechanical products has the advantages of high efficiency, good robustness and high
simulation precision, comprehensive design and analysis of
rail wear life and reliability to spatial mechanisms are achieved, and the active reliability analyzing and evaluating method for the highly-reliable mechanical products is significant to
reliability design technology
engineering of complex mechanisms of
aerospace equipment.