Model parameter estimation of ball bearings using generalized Polynomial Chaos Expansion

Marcel Simon Prem, Michael Klanner, Katrin Ellermann

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review


Different operating conditions, like the axial prestress situation or the rotational speed, affect the characteristics of ball bearings. An efficient estimation of the bearing properties is necessary to describe the behavior of rotating systems, e.g. the critical speed of a rotor.
In this paper, an efficient method to estimate the model properties of ball bearings, with respect to the axial prestress situation in a non-rotating condition, is presented. The Numerical Assembly Technique is used to model the system, consisting of the bearing brackets, the ball bearings and the rotor. The generalized Polynomial Chaos Expansion is applied to estimate the material parameters of the rotor and the bearing properties. Two cases are analyzed. First, the rotor is analyzed with free boundaries to describe it, with a minimum of modelling errors. Second, the ball bearings are analyzed, based on measurements of the test rig. The measurements are taken from an experimental modal analysis. It is shown that the model parameters of the system are obtained in an efficient and precise way.
Original languageEnglish
Title of host publicationProceedings of SIRM 2021: The 14th International Conference on Dynamics of Rotating Machines
Pages331 - 340
Number of pages10
ISBN (Electronic)978-83-88237-98-0
Publication statusPublished - 1 Apr 2021
Event14th International Conference on Dynamics of Rotating Machines: SIRM 2021 - Gdansk, Virtuell, Poland
Duration: 17 Feb 202119 Feb 2021
Conference number: 14


Conference14th International Conference on Dynamics of Rotating Machines
Abbreviated titleSIRM 2021
Internet address

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