摘要
随着航空航天和电子技术的飞速发展,对卫星健康状况的评估、诊断和维护等技术的研究与探索引起各国国防与工业机构的广泛关注。卫星预测与健康管理(Prognostics and Health Management,PHM)的目的是提高卫星系统的可用性、可靠性和安全性。综述了近年来卫星健康管理的主要研究内容与关键技术,论述了PHM的发展、大规模在轨卫星健康状态评估方法、人工智能方法在卫星系统健康监测和健康管理方面的应用等问题,并给出了一个具体的总体设计方案以及相关技术途径。
With the rapid development of aerospace and electronic technologies,the research and exploration of satellite health assessment,diagnosis and maintenance technologies have aroused the widespread concern of national defense and industrial institutions.The purpose of satellite Prognostics and Health Management(PHM)is to improve the availability,reliability and security of the satellite system.In recent years,various related methods and technologies have been proposed.The main research content and key technologies of satellite PHM are reviewed,the development of PHM,large-scale on-orbit satellite health assessment methods,and the application of artificial intelligence methods in health monitoring and health management of satellite systems are discussed.At last,an architecture design scheme of satellite PHM system and associated techniques are introduced.
作者
许宏才
张超
鲍军鹏
翟磊
胡炎
吴健鑫
宋世杰
XU Hongcai;ZHANG Chao;BAO Junpeng;ZHAI Lei;HU Yan;WU Jianxin;SONG Shijie(School of Computer Science and Technology,Xi’an Jiaotong University,Xi’an 710049,China;The 54th Research Institute of CETC,Shijiazhuang 050081,China;Beijing Institute of Tracking and Telecommunication Technology,Beijing 100094,China)
出处
《无线电工程》
2020年第6期429-436,共8页
Radio Engineering
基金
国家自然科学基金资助项目(61672421)。
关键词
故障预测与健康管理
卫星系统
数据驱动
人工智能
prognostics and health management
satellite system
data driven
artificial intelligence
