中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A truncated test scheme design method for success-failure in-orbit tests

文献类型:期刊论文

AuthorDing, Wenzhe1,2; Bai, Xiang2; Wang, Qingwei2; Long, Fang2; Li, Hailin2; Wu, Zhengrong2; Liu, Jian2; Yao, Huisheng2; Yang, Hong2
SourceReliability Engineering and System Safety
Issued Date2024-03
Volume243
KeywordIOT verification test Sequential test Bayesian theory Risk calculation Optimization
ISSN09518320
DOI10.1016/j.ress.2023.109782
Rank1
English Abstract

Based on the success-failure test feature of in-orbit tests (IOTs) for typical space equipment, this paper presents a method for designing a truncated test scheme for success-failure in-orbit tests. With this method, a small upper boundary of the sample size for the IOT verification test can be obtained before the test starts. The method introduces the truncated Bayes-sequential mesh test (SMT) method into the design of the IOT verification test scheme and greatly compresses the continuous test area by incorporating optimization theory, resulting in a smaller upper limit of the IOT sample size. First, this paper derives a specific calculation formula for the Bayes-SMT critical line. Second, the Markov chain model is adopted to calculate the occurrence probabilities of each acceptance and rejection point through state transition. Finally, an optimal truncated test optimization algorithm based on the augmented lagrangian genetic algorithm is proposed. Simulation tests show that, compared with the classical single sampling method, the truncated sequential probability ratio test method, the truncated SMT method, and the truncated Bayes-SMT method based on step-by-step calculation, the method presented in this paper can be used to obtain a sequential test scheme with smaller truncated sample size. © 2023

Language英语
PublisherElsevier Ltd