Spacecraft actuator diagnosis with principal component analysis: application to the rendez-vous phase of the Mars sample return mission
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Publication:892579
DOI10.1155/2015/204918zbMath1326.93059OpenAlexW1582748774WikidataQ59112364 ScholiaQ59112364MaRDI QIDQ892579
Kamal Benothman, Philippe Dague, Othman Nasri, Imen Gueddi
Publication date: 19 November 2015
Published in: Journal of Control Science and Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2015/204918
principal component analysis (PCA)fault detection and isolation (FDI)autonomous spacecraftMars sample return (MSR) missionrendezvous phase
Related Items (3)
Application of residual-based EWMA control charts for detecting faults in variable-air-volume air handling unit system ⋮ A new interval diagnosis method: Application to the spacecraft rendezvous phase of the Mars sample return mission ⋮ A Bayesian approach to control loop performance diagnosis incorporating background knowledge of response information
Cites Work
- Fault detection, isolation and estimation for Takagi-Sugeno nonlinear systems
- Fault-Diagnosis Applications
- Fault Detection and Isolation with Robust Principal Component Analysis
- Fault detection and isolation for on‐board sensors of a general aviation aircraft
- Some Theorems on Quadratic Forms Applied in the Study of Analysis of Variance Problems, I. Effect of Inequality of Variance in the One-Way Classification
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