A model-driven dual-derivation framework for quantitative fault detection in satellite power system

Pengming Wang, Liansheng Liu, Yuchen Song, Zhidong Li, Datong Liu

Abstract: Highlights•This work was validated through an on-orbit satellite and its telemetry data.•Model-driven dual-derivation framework for quantitative fault detection is proposed.•This framework can accurately detect and quantify fault severity in complex systems.•The framework is more robust in complex data environments.•A search space optimization method based on fault behavior model is proposed.