Autonomous Recommendation of Fault Detection Algorithms for Spacecraft
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.