TY - GEN
T1 - Satellite Fault Diagnosis Technology Based on Intelligent Signal Processing
AU - Jiang, Shuo
AU - Jiang, Siyue
AU - Zhang, Xiaorui
AU - Liu, Jianyu
AU - Gao, Hetong
AU - Shan, Chengzhao
AU - Li, Zhuoming
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - This paper investigates the intelligent fault diagnosis technique for the power converter in the main circuit of the Battery Charge and Discharge Regulation (BCDR) module within satellite power supply and distribution systems. To address potential limitations of traditional shallow networks in fault diagnosis, a Deep Belief Network is employed for fault detection. The study also explores the optimization effects of various algorithms on the parameters of the DBN model. The DBN fault diagnosis model proposed in this paper, which is based on the Adam optimization algorithm, offers a simple and feasible solution for satellite fault diagnosis. It can effectively enhance the stability of satellite power control loops and reduce the operational risks of satellites in orbit.
AB - This paper investigates the intelligent fault diagnosis technique for the power converter in the main circuit of the Battery Charge and Discharge Regulation (BCDR) module within satellite power supply and distribution systems. To address potential limitations of traditional shallow networks in fault diagnosis, a Deep Belief Network is employed for fault detection. The study also explores the optimization effects of various algorithms on the parameters of the DBN model. The DBN fault diagnosis model proposed in this paper, which is based on the Adam optimization algorithm, offers a simple and feasible solution for satellite fault diagnosis. It can effectively enhance the stability of satellite power control loops and reduce the operational risks of satellites in orbit.
KW - Adam Optimization Algorithm
KW - Deep Belief Network
KW - Satellite Fault Diagnosis
UR - https://www.scopus.com/pages/publications/105013054368
U2 - 10.1109/EEISS65394.2025.11086080
DO - 10.1109/EEISS65394.2025.11086080
M3 - 会议稿件
AN - SCOPUS:105013054368
T3 - EEiSS 2025 - 2025 2nd International Conference on Electronic Engineering and Information Systems
BT - EEiSS 2025 - 2025 2nd International Conference on Electronic Engineering and Information Systems
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd International Conference on Electronic Engineering and Information Systems, EEiSS 2025
Y2 - 23 May 2025 through 25 May 2025
ER -