Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/3067
Full metadata record
DC FieldValueLanguage
dc.contributor.authorSatapathy, Monalisha-
dc.contributor.authorLal, Mohit-
dc.date.accessioned2018-10-04T10:44:45Z-
dc.date.available2018-10-04T10:44:45Z-
dc.date.issued2018-09-
dc.identifier.citation10th IFToMM International Conference on Rotor Dynamics (IFToMM 2018), Rio de Janeiro, Brazil, 23-27 September, 2018en_US
dc.identifier.urihttp://hdl.handle.net/2080/3067-
dc.descriptionCopyright of the document belongs to proceedings publisher.en_US
dc.description.abstractIn the modelling and analysis of turbine generator systems, bearing and coupling dynamic parameters are considered as the major unknowns. In the past, practitioners of rotor dynamics have modelled coupling as having speed independent stiffness and damping parameters that lead to modelling error, due to the fact that the amount of misalignment depends upon different modes of excitation. In this article, an identification algorithm has been developed for simultaneous estimation of the speed dependent bearing and coupling dynamic parameters along with residual unbalances. Lagrange’s equation is used to derive the equations of motion of the system in generalized coordinates and least squares technique is used to develop identification algorithm. The novelty of the present identification algorithm is the estimation of speed dependent coupling dynamic parameters along with speed dependent bearing dynamic parameters. Numerical experiments have been performed for a simple rotor train model to illustrate the developed algorithm. To check the robustness of the identification algorithm, measurement noise has been added in numerically simulated response. Well agreement in the estimated parameters is observed for a different level of measurement noise.en_US
dc.subjectSpeed Dependenten_US
dc.subjectBearing and Coupling Dynamic Parametersen_US
dc.subjectLagrange’s Equationen_US
dc.subjectIdentification Algorithmen_US
dc.subjectResidual Unbalancesen_US
dc.titleSpeed dependent dynamic parameters estimation of a rotor–bearing–coupling systemen_US
dc.typeArticleen_US
Appears in Collections:Conference Papers

Files in This Item:
File Description SizeFormat 
2018_IFToMM_MLal_Speed.pdfConference Paper820.8 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.