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- W2022050932 abstract "A novel fault diagnosis method based on the combination of offline identification and online observing is proposed in this paper, which can meet the requirement of both model complexity and real-time need for the satellite attitude control system. Accurate neural network models, both normal mode and faulty mode, can be obtained by off-line identification based on the data of fault simulation in different fault modes. With a parallel estimator derived from all models With all, fault determination based on threshold logic is designed for online fault detecting and isolating. Real-time simulation results, on the embedded fault simulation platform of satellite attitude control system, illustrate the effectiveness and superiority." @default.
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- W2022050932 date "2009-12-11" @default.
- W2022050932 modified "2023-09-23" @default.
- W2022050932 title "A real-time fault diagnosis method of SACS based on combination of offline identification and online observing" @default.
- W2022050932 doi "https://doi.org/10.1117/12.855502" @default.
- W2022050932 hasPublicationYear "2009" @default.
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