基于领域知识图谱的卫星故障辅助诊断与处置方法  

Auxiliary Diagnosis and Disposal Methods for Satellite Faults Based on Domain Knowledge Graph

作　　者：张鑫鑫 王冲[1] 徐晔 周晓宁[1] 沈亦纯 周捷 ZHANG Xinxin;WANG Chong;XU Ye;ZHOU Xiaoning;SHEN Yichun;ZHOU Jie(Shanghai Institute of Satellite Engineering,Shanghai 201109,China;Shanghai Academy of Spaceflight Technology,Shanghai 201109,China)

机构地区：[1]上海卫星工程研究所,上海201109 [2]上海航天技术研究院,上海201109

出　　处：《上海航天（中英文）》2023年第3期151-158,共8页Aerospace Shanghai（Chinese&English）

摘　　要：本文重点针对传统故障诊断方法能力不足的缺点,开展基于领域知识图谱的卫星故障辅助诊断与处置方法研究,突破卫星故障领域知识图谱构建关键技术,关联固化卫星系统多维专家知识,构建卫星故障领域知识图谱,进而实现结合卫星故障知识信息的卫星故障推理分析和辅助诊断处置,提升复杂故障场景下的卫星故障诊断效率与处置能力。本文提出的方法为保障大气环境监测卫星的在轨长期稳定运行,提供了一种新的故障辅助诊断与处置措施。In view of the deficiency of traditional fault diagnosis methods,this paper focuses on the satellite fault auxiliary diagnosis and disposal method based on domain knowledge graph.Through the key construction technology of domain knowledge graph for satellite faults,the domain knowledge graph for satellite faults is built,which associates and solidifies the expert knowledge of multiple dimensions in the satellite system.Furthermore,the inference analysis and auxiliary diagnosis and disposal of satellite faults combined with the satellite fault knowledge and information are realized,and thus the efficiency and disposal ability of satellite fault diagnosis in complex fault scenarios are improved.The method proposed in this paper provides a new fault diagnosis and disposal way to ensure the long-term stable operation of DQ-1 satellite in orbit.

关 键 词：卫星故障 领域知识图谱 专家知识 故障辅助诊断 故障处置 

分 类 号：V19[航空宇航科学与技术—人机与环境工程] TP391.9[自动化与计算机技术—计算机应用技术]