A novel KFCM based fault diagnosis method for unknown faults in satellite reaction wheels

Reaction wheels are one of the most critical components of the satellite attitude control system, therefore correct diagnosis of their faults is quintessential for efficient operation of these spacecraft. The known faults in any of the subsystems are often diagnosed by supervised learning algorithms...

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Veröffentlicht in:	ISA transactions 2012-03, Vol.51 (2), p.309-316
Hauptverfasser:	Hu, Di, Sarosh, Ali, Dong, Yun-Feng
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Applied sciences Artificial Intelligence Cluster Analysis Computer science control theory systems Computer Simulation Control theory. Systems Data Interpretation, Statistical Data points Diagnosis Equipment Design Equipment Failure Exact sciences and technology Fault detection and diagnosis Fault diagnosis Faults Fundamental areas of phenomenology (including applications) Fuzzy clustering Fuzzy Logic Kernel fuzzy c-means clustering Modelling and identification Neural Networks (Computer) Physics Reaction wheel Reaction wheels Reproducibility of Results Satellite attitude control system Similarity Solid dynamics (ballistics, collision, multibody system, stabilization...) Solid mechanics Spacecraft
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