摘要
针对目前飞机服役后航空电子系统测试性评估样本少、评估精度不高等问题,提出了航空电子系统外场测试性迭代评估方法,以提高其外场测试性评估精度。首先,阐述基于贝叶斯框架的外场测试性评估思路。其次,根据先验信息样本情况,构建了最大熵模型,结合PSO算法,求解故障检测率先验分布超参数并进行超参数一致性检验。再次,利用Bayes公式求得后验分布,得到故障检测率迭代估计结果。结合实例,将本文方法与现有方法进行对比分析,证实了本文方法的正确性和评估优势。
An iterative evaluation method for testability of avionics electronic system in field is proposed to improve the accuracy of testability evaluation and solve the problems of few testability evaluation samples and low evaluation accuracy of avionics electronic system after aircraft service.Firstly,the idea of field testability evaluation based on Bayesian framework is expounded.Secondly,according to the prior information,the maximum entropy method,combined with PSO algorithm,is used to find hyper-parameters in the prior distribution of fault detection rate,and hyper-parameters consistency check is carried out.Then,the posterior distribution is obtained by Bayes formula,and the iterative estimation results of fault detection rate are obtained.Combined with the example,the comparison and analyses between this method and existing method further proved the correctness and advantages of the proposed method.
作者
金建刚
蔡忠义
连可
游亮
周立坤
Jin Jiangang;Cai Zhongyi;Lian Ke;You Liang;Zhou Likun(Graduate College,Air Force Engineering University,Xi’an 710051,China;Equipment Management and UAV Engineering College,Air Force Engineering University,Xi’an 710051,China;Unit 93147 of PLA,Chengdu 610036,China)
出处
《航空兵器》
CSCD
北大核心
2024年第3期137-141,共5页
Aero Weaponry
基金
国家自然科学基金项目(71901216)。
关键词
航空电子系统
测试性评估
Bayes理论
最大熵
PSO算法
avionics electronic system
testability evaluation
Bayes theory
maximum entropy
particle swarm optimization algorithm