This paper presents a fault detection and isolation (FDI) approach in order to detect and isolate actuators (thrusters and reaction\nwheels) faults of an autonomous spacecraft involved in the rendez-vous phase of the Mars Sample Return (MSR) mission. The\nprincipal component analysis (PCA) has been adopted to estimate the relationships between the various variables of the process.\nTo ensure the feasibility of the proposed FDI approach, a set of data provided by the industrial ââ?¬Å?high-fidelityââ?¬Â simulator of the MSR\nand representing the opening (resp., the rotation) rates of the spacecraft thrusters (resp., reaction wheels) has been considered.The\ntest results demonstrate that the fault detection and isolation are successfully accomplished.
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