Autonomous Recommendation of Fault Detection Algorithms for Spacecraft

作     者：Wenbo Li Baoling Ning Wenbo Li;Baoling Ning

作者机构：the National Key Laboratory of Science and Technology on Space Intelligent ControlBeijing Institute of Control EngineeringBeijing 100094China the School of Data Science and TechnologyHeilongjiang UniversityHarbin 150001China 

出 版 物：《IEEE/CAA Journal of Automatica Sinica》 (自动化学报（英文版）)

年 卷 期：2024年第11卷第1期

页      面：273-275页

核心收录：

学科分类：081203[工学-计算机应用技术] 08[工学] 082503[工学-航空宇航制造工程] 0835[工学-软件工程] 0825[工学-航空宇航科学与技术] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by the National Key R&D Program of China (2021YFB1715000) the National Natural Science Foundation of China (U1811461, 62022013, 12150007, 62103450, 61832003, 62272137) 

主　　题：fault introducing letter 

摘      要：Dear Editor, This letter deals with the problem of algorithm recommendation for online fault detection of spacecraft. By transforming the time series data into distributions and introducing a distribution-aware measure, a principal method is designed for quantifying the detectabilities of fault detection algorithms over special datasets.