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Fault diagnosis of spacecraft electrical power system based on improved Newman community divisions method

Ziyang SONG Zhongcheng MU Shufan WU Song JIN Jiyuan YI

中国航空学报（英文版）2026，Vol.39Issue(2)：456-471,16.

中国航空学报（英文版）2026，Vol.39Issue(2)：456-471,16.DOI:10.1016/j.cja.2025.103752

Fault diagnosis of spacecraft electrical power system based on improved Newman community divisions method

Ziyang SONG ¹Zhongcheng MU ¹Shufan WU ¹Song JIN ¹Jiyuan YI¹

作者信息

1. School of Aeronautics and Astronautics,Shanghai Jiao Tong University,Shanghai 200240,China
折叠

摘要

关键词

Community division/Complex network/Electrical power system/Fault detection/Quantum-behaved Particle Swarm Optimization/Spacecraft

Key words

Community division/Complex network/Electrical power system/Fault detection/Quantum-behaved Particle Swarm Optimization/Spacecraft

引用本文复制引用

Ziyang SONG,Zhongcheng MU,Shufan WU,Song JIN,Jiyuan YI..Fault diagnosis of spacecraft electrical power system based on improved Newman community divisions method[J].中国航空学报（英文版）,2026,39(2):456-471,16.

基金项目

This work was supported in part by the Natural Science Foun-dation of Shanghai,China(No.23ZR1432400),and the Shanghai Pilot Program for Basic Research-Chinese Academy of Science(No.JCYJ-SHFY-2022-015). （No.23ZR1432400）

中国航空学报（英文版）

ISSN：1000-9361

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