A semi-analytical bearing model considering outer race flexibility for model based bearing load monitoring

Journal Article (2018)
Author(s)

Stijn Kerst (TU Delft - Intelligent Vehicles)

B. Shyrokau (TU Delft - Intelligent Vehicles)

E.G.M. Holweg (TU Delft - OLD Intelligent Vehicles & Cognitive Robotics)

Research Group
Intelligent Vehicles
Copyright
© 2018 S.M.A.A. Kerst, B. Shyrokau, E.G.M. Holweg
DOI related publication
https://doi.org/10.1016/j.ymssp.2017.11.008
More Info
expand_more
Publication Year
2018
Language
English
Copyright
© 2018 S.M.A.A. Kerst, B. Shyrokau, E.G.M. Holweg
Research Group
Intelligent Vehicles
Volume number
104
Pages (from-to)
384-397
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

This paper proposes a novel semi-analytical bearing model addressing flexibility of the bearing outer race structure. It furthermore presents the application of this model in a bearing load condition monitoring approach. The bearing model is developed as current computational low cost bearing models fail to provide an accurate description of the more and more common flexible size and weight optimized bearing designs due to their assumptions of rigidity. In the proposed bearing model raceway flexibility is described by the use of static deformation shapes. The excitation of the deformation shapes is calculated based on the modelled rolling element loads and a Fourier series based compliance approximation. The resulting model is computational low cost and provides an accurate description of the rolling element loads for flexible outer raceway structures. The latter is validated by a simulation-based comparison study with a well-established bearing simulation software tool. An experimental study finally shows the potential of the proposed model in a bearing load monitoring approach.

Files

1_s2.0_S0888327017305903_main.... (pdf)
(pdf | 1.54 Mb)
- Embargo expired in 11-05-2018
License info not available