|Fault Detection and Isolation of Spacecraft Thrusters using an Extended Principal Component Analysis to Interval Data
Imen Gueddi, Othman Nasri*, Kamal Benothman, and Philippe Dague
International Journal of Control, Automation, and Systems, vol. 15, no. 2, pp.776-789, 2017
Abstract : "This paper presents a new interval diagnosis method to detect and isolate actuators faults of an autonomous
spacecraft involved in the rendez-vous phase of the Mars Sample Return (MSR) mission. The proposed
diagnosis approach is based on the Vertices Principal Component Analysis (VPCA) as an extension of the classical
PCA method to interval data. To ensure the feasibility of the proposed Fault Detection and Isolation (FDI) approach,
a set of interval data provided by the MSR “high-fidelity” industrial simulator and representing the opening rates of
the spacecraft thrusters has been considered. The results have proven the efficiency of the proposed FDI approach
in the diagnosing process assuring the detection and the isolation of both single and multiple faults."
Fault detection and isolation, MSR, PCA, reconstruction, SPE, thrusters, VPCA.
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