TY - GEN
T1 - Intelligent Fault Diagnosis and Health Monitoring System for On-orbit FPGA Critical Components
AU - Zhao, Yaqin
AU - Li, Lei
AU - Song, Yuqing
AU - Wu, Longwen
AU - Luo, Dongming
AU - Wang, Yi
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - With the increase in space exploration activities, it has become particularly important to ensure the reliability of spacecraft operations in orbit. On-orbit critical components, especially electronic assemblies on spacecraft, are particularly sensitive to single-event effects and cosmic rays. In this paper, a Field Programmable Gate Array (FPGA)-based intelligent fault diagnosis system is proposed to improve the fault detection and response capability of on-orbit critical components in the face of cosmic rays and single-event effects. The system utilizes the high configurability and fast processing speed of FPGA to realize realtime data monitoring, processing and fault detection. Through practical tests, the system's ability to effectively recognize and handle various types of faults, such as single-event lockup, singleevent function error, and total dose effect, is verified, and the fault diagnosis accuracy rate exceeds 90%. The results show that the system can significantly improve the fault detection efficiency and reliability of key components, providing a strong guarantee for the long-term stable operation of spacecraft.
AB - With the increase in space exploration activities, it has become particularly important to ensure the reliability of spacecraft operations in orbit. On-orbit critical components, especially electronic assemblies on spacecraft, are particularly sensitive to single-event effects and cosmic rays. In this paper, a Field Programmable Gate Array (FPGA)-based intelligent fault diagnosis system is proposed to improve the fault detection and response capability of on-orbit critical components in the face of cosmic rays and single-event effects. The system utilizes the high configurability and fast processing speed of FPGA to realize realtime data monitoring, processing and fault detection. Through practical tests, the system's ability to effectively recognize and handle various types of faults, such as single-event lockup, singleevent function error, and total dose effect, is verified, and the fault diagnosis accuracy rate exceeds 90%. The results show that the system can significantly improve the fault detection efficiency and reliability of key components, providing a strong guarantee for the long-term stable operation of spacecraft.
KW - FPGA
KW - cosmic rays
KW - fault detection
KW - on-orbit components
KW - single event effect
UR - https://www.scopus.com/pages/publications/85205974050
U2 - 10.1109/ICISPC63824.2024.00037
DO - 10.1109/ICISPC63824.2024.00037
M3 - 会议稿件
AN - SCOPUS:85205974050
T3 - Proceedings - 2024 8th International Conference on Imaging, Signal Processing and Communications, ICISPC 2024
SP - 173
EP - 177
BT - Proceedings - 2024 8th International Conference on Imaging, Signal Processing and Communications, ICISPC 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th International Conference on Imaging, Signal Processing and Communications, ICISPC 2024
Y2 - 19 July 2024 through 21 July 2024
ER -