http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Imen Gueddi,Othman Nasri,Kamal Benothman,Philippe Dague 제어·로봇·시스템학회 2017 International Journal of Control, Automation, and Vol.15 No.2
This paper presents a new interval diagnosis method to detect and isolate actuators faults of an autonomousspacecraft involved in the rendez-vous phase of the Mars Sample Return (MSR) mission. The proposeddiagnosis approach is based on the Vertices Principal Component Analysis (VPCA) as an extension of the classicalPCA 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 ofthe spacecraft thrusters has been considered. The results have proven the efficiency of the proposed FDI approachin the diagnosing process assuring the detection and the isolation of both single and multiple faults.