Design of System-Level Self-health Energy Management of Manned Spacecraft

Qian Liu (), Fangyuan Wen, Zhen Lv, Minjun Mao () and Rong Fan
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Qian Liu: Aerospace System Engineering Shanghai
Fangyuan Wen: Aerospace System Engineering Shanghai
Zhen Lv: Aerospace System Engineering Shanghai
Minjun Mao: Aerospace System Engineering Shanghai
Rong Fan: Aerospace System Engineering Shanghai

A chapter in Data-Driven Methods for Reliability and Safety Engineering: Applications in Industrial Systems, 2026, pp 349-360 from Springer

Abstract: Abstract Given the long service life and high reliability requirements of manned spacecraft, the effectiveness of fault diagnosis and self-health management directly influences the autonomy of spacecraft during on-orbit operations. Using energy health monitoring as a representative case, two modes of system-level self-health energy management are proposed. The design of these modes is detailed with respect to activation timing, health assessment methodologies, and autonomous fault-handling strategies. Within these designs, fault detection and diagnosis are performed to deliver timely fault information to astronauts and ground engineers. For faults posing a threat to astronaut safety or leading to system failure, autonomous recovery mechanisms are incorporated to restore functionality and transition the spacecraft into a safety mode. The results provide technical support for enhancing fault diagnosis and self-health management in future spacecraft.

Keywords: Fault diagnosis; System-level; Self-health energy management; Autonomous disposal; Safety mode (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-3-032-22873-4_25

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DOI: 10.1007/978-3-032-22873-4_25

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