Nonlinear Simulation of Defected Rotor-Bearing Systems

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The current work focuses into two main directions ofrotor dynamics object: the simulation ofa rotor-bearing system and the detection of defectsthat are commonly appeared in rotating systems. Thetransverse breathing crack in a rotor and the radialyextended wear in a bearing are the defects presentedin the simulations. The persuasion is initialy tomake a proposal in rotor-bearing system nonlinearsimulation and secondly to suggest methods able todetect the transverse breathing rotor crack and thebearing wear. Time-frequency analysis is performedusing continuous wavelet transform in numerical andexperimental time histories in order to extract thevariable coupling phenomenon exclusively due to thebreathing crack from the other two main reasons ofcoupling, the bearings and the shaft. The mainspeculations are that both defects have to bedetected in an early growth and without the demand ofinterrupting the operation of the system since thiscannot be always feasible in real rotating machinery.The growths of the defects have to be at least of 10%of rotor radius for the crack, and 20% of bearingradial clearance for bearing wear.

Autorentext

Dr. Athanasios Chasalevris studied Mechanical and AeronauticalEngineering in the University of Patras in Hellas. In the sameInstitut he achieved his Doktoral Thesis in Vibrationanalysis of Nonlinear-Dynamic Rotor-Bearing Systems.Since 2010, he is a scholar of Alexander von Humboldt Foundation in TU Darmstadt in the object of Rotordynamics.

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Weitere Informationen

  • Allgemeine Informationen
    • Sprache Englisch
    • Untertitel Methods for Detection of Rotor Crack and Bearing Wear
    • Autor Athanasios Chasalevris
    • Titel Nonlinear Simulation of Defected Rotor-Bearing Systems
    • Veröffentlichung 14.06.2011
    • ISBN 3844385975
    • Format Kartonierter Einband
    • EAN 9783844385977
    • Jahr 2011
    • Größe H220mm x B150mm x T18mm
    • Gewicht 465g
    • Herausgeber LAP LAMBERT Academic Publishing
    • Anzahl Seiten 300
    • GTIN 09783844385977

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