Anzeige
Erschienen in:
2010 | OriginalPaper | Buchkapitel
22. A Hybrid Framework for Servo-Actuated Systems Fault Diagnosis
verfasst von : Seraphin C. Abou, Manali Kulkarni, Marian Stachowicz
Erschienen in: Machine Learning and Systems Engineering
Verlag: Springer Netherlands
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Abstract
A hybrid fault diagnosis method is proposed in this paper which is based on analytical and fuzzy logic theory. Analytical redundancy is employed by using statistical analysis. Fuzzy logic is then used to maximize the signal- to-threshold ratio of the residual and to detect different faults. The method was successfully demonstrated experimentally on hydraulic actuated system test rig. Real data and simulation results have shown that the sensitivity of the residual to the faults is maximized, while that to the unknown input is minimized. The decision of whether ‘a fault has occurred or not?’ is upgraded to ‘what is the severity of that fault?’ at the output. Simulation results show that fuzzy logic is more sensitive and informative regarding the fault condition, and less sensitive to uncertainties and disturbances.