舰船电子工程2024，Vol.44Issue(4)：34-37,4.DOI:10.3969/j.issn.1672-9730.2024.04.008
基于贝叶斯多源数据融合的小子样产品性能状态评估方法
Performance State Evaluation Method of Small Sample Products Based on Bayesian Multi-source Data Fusion
摘要
Abstract
In order to solve the problem of less test data available in the process of performance state evaluation of small sam-ple products.The engine performance parameters of small sample product is analyzed,the performance state parameter and state di-vision are set.The Bayesian multi-source data fusion theory is used to fuse the test data of the engine of the product to be evaluated and the test data of the engines of other products of the same type and batch to obtain the fusion prior and fusion posterior of the per-formance state parameter.The Bayesian estimation of performance state parameter is carried out by using fusion posterior.Combined with the estimated value and state division,the performance evaluation of the engine of the small sample product is completed,which provides a new idea for the overall performance state evaluation of the small sample products.关键词
贝叶斯融合/多源数据/小子样产品/性能评估Key words
Bayesian fusion/multi-source data/small sample products/performance evaluation分类
信息技术与安全科学引用本文复制引用
赵建印,毛廷鎏,杨根庆,孙伟赫..基于贝叶斯多源数据融合的小子样产品性能状态评估方法[J].舰船电子工程,2024,44(4):34-37,4.
