TY - GEN
T1 - Fault Warning Method of Guidance, Navigation & Control System based on Adaptive Correlation Network
AU - Xiao, Xiaoqi
AU - Xu, Dan
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - As one of the key components of the spacecraft, it is crucial to ensure the safe operation of Guidance, Navigation & Control (GNC) system. Early detection of abnormalities plays a pivotal role in enhancing mission success rates and reducing operational costs. In this paper, a fault warning method of GNC based on association analysis, complex network and adaptive algorithm was proposed. First of all, a new correlation identification method was defined to construct a time-varying correlation network. Then, an improved particle swarm optimization algorithm was used to choose hyperparameters. Meanwhile, a comprehensive index reflecting the network topology was constructed to assess the abnormality of the GNC system. Finally, the real monitoring data of a certain case was used to verify the effectiveness of the proposed method.
AB - As one of the key components of the spacecraft, it is crucial to ensure the safe operation of Guidance, Navigation & Control (GNC) system. Early detection of abnormalities plays a pivotal role in enhancing mission success rates and reducing operational costs. In this paper, a fault warning method of GNC based on association analysis, complex network and adaptive algorithm was proposed. First of all, a new correlation identification method was defined to construct a time-varying correlation network. Then, an improved particle swarm optimization algorithm was used to choose hyperparameters. Meanwhile, a comprehensive index reflecting the network topology was constructed to assess the abnormality of the GNC system. Finally, the real monitoring data of a certain case was used to verify the effectiveness of the proposed method.
KW - GNC
KW - association analysis
KW - complex network
KW - fault warning
UR - https://www.scopus.com/pages/publications/85177613230
U2 - 10.1109/ISSSR58837.2023.00030
DO - 10.1109/ISSSR58837.2023.00030
M3 - 会议稿件
AN - SCOPUS:85177613230
T3 - Proceedings - 2023 9th International Symposium on System Security, Safety, and Reliability, ISSSR 2023
SP - 446
EP - 452
BT - Proceedings - 2023 9th International Symposium on System Security, Safety, and Reliability, ISSSR 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th International Symposium on System Security, Safety, and Reliability, ISSSR 2023
Y2 - 10 June 2023 through 11 June 2023
ER -