Extremely small subsample reliability growth test design method

Abstract

The invention belongs to the field of aircraft structure design and strength analysis, and particularly relates to a minimum subsample reliability growth test design method, which In the first step, given the reliability target, the log-average lifetime [mu]m 1 is inversely calculated. In the second step, the life value T0 of the reliability test is virtualized to meet the requirements of the Bootstrap method. In the third step, the Bootstrap method can be used to obtain the distribution and the mean [mu]m. In the fourth step and finally, [mu]m1 is compared with [mu]m to satisfy the error range, that is, the output lifetime value T0. Otherwise, the iteration is performed, and the final output satisfies the reliability target. Life value T0. The method in this paper is that the reliabilitytest life T0, the confidence Gamma and the target failure probability R have been obtained, and the test life T is obtained, so that the failure probability of the mechanism system under the overhaulperiod is not greater than R under the confidence Gamma. The test life expectancy value is reached, and the life value satisfies the reliability growth requirement after evaluation, and the design method is feasible.

Description

technical field [0001] The invention belongs to the field of aircraft structure design and strength analysis, and in particular relates to a design method for a very small sample reliability growth test, which is suitable for large-scale aeromechanical systems. Background technique [0002] 1) For expensive and time-consuming large-scale aeromechanical systems, only a very small sample test can be done, and the ensuing problem is that the reliability growth model stipulated in the GJB1407 standard: Duane model and AMSAA model are not suitable for very small samples Reliability growth test evaluation, and now research on reliability growth test design methods are more common in aerospace and engine fields, as well as avionics product systems. There are few reports on the experimental research on the reliability growth of large mechanical systems in the aviation field. [0003] 2) At the same time, it has been noticed that the reliability evaluation method of the minimum samp...

AI Technical Summary

Problems solved by technology

[0002] 1) For expensive and time-consuming large-scale aeromechanical systems, only a very small sample test can be done, and the ensuing problem is that the reliability growth model stipulated in the GJB1407 standard: Duane model and AMSAA model are not suitable for very small samples Reliabi

Images