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

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Bibliographic Details
Published in:Chinese Journal of Aeronautics
Format: Online Article RSS Article
Published: 2025
Subjects:
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container_title Chinese Journal of Aeronautics
description
discipline_display Engineering & Technology
discipline_facet Engineering & Technology
format Online Article
RSS Article
genre Journal Article
id rss_article:10658
institution FRELIP
journal_source_facet Chinese Journal of Aeronautics
publishDate 2025
publishDateSort 2025
record_format rss_article
spellingShingle Fault diagnosis of spacecraft electrical power system based on improved Newman community divisions method
— — — — — Aerospace Engineering
Aerospace & Aeronautical
Engineering & Technology
sub_discipline_display Aerospace & Aeronautical
sub_discipline_facet Aerospace & Aeronautical
subject_display — — — — — Aerospace Engineering
Aerospace & Aeronautical
Engineering & Technology
— — — — — Aerospace Engineering
Aerospace & Aeronautical
Engineering & Technology
subject_facet — — — — — Aerospace Engineering
Aerospace & Aeronautical
Engineering & Technology
title Fault diagnosis of spacecraft electrical power system based on improved Newman community divisions method
title_auth Fault diagnosis of spacecraft electrical power system based on improved Newman community divisions method
title_full Fault diagnosis of spacecraft electrical power system based on improved Newman community divisions method
title_fullStr Fault diagnosis of spacecraft electrical power system based on improved Newman community divisions method
title_full_unstemmed Fault diagnosis of spacecraft electrical power system based on improved Newman community divisions method
title_short Fault diagnosis of spacecraft electrical power system based on improved Newman community divisions method
title_sort fault diagnosis of spacecraft electrical power system based on improved newman community divisions method
topic — — — — — Aerospace Engineering
Aerospace & Aeronautical
Engineering & Technology
url https://www.sciopen.com/article/10.1016/j.cja.2025.103752