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Advances in Condition Monitoring of Machinery in Non-Stationary Operations pp 103–113Cite as

Estimating Rolling Element Bearing Stiffness Under Different Operational Conditions Through Modal Analysis

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Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

Abstract

This paper presents a novel test rig, developed to analyse the behaviour of rolling element bearings subjected to highly varying loads. The design is optimised to measure the bearing behaviour, free from dynamics of the surrounding structure. In the current study, the test rig is used to evaluate the stiffness of a deep groove ball bearing under different operational conditions. The bearing behaviour is measured using the modal analysis technique. Then, an analytical model of the test structure is fitted on the data to estimate the bearing stiffness. The stiffness estimation is validated using a dummy bearing with a known stiffness. Finally, the stiffness of a mounted ball bearing is estimated. The paper evaluates the effect of a radial static load on the bearing stiffness. Stationary and operational conditions are compared as well. A clear difference between the stiffness of a rotating and non-rotating bearing is observed.

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References

  1. Kraus J, Blech J, Braun S (1987) In situ determination of rolling bearing stiffness and damping by modal analysis. J Vib Acoust Stress Reliab Design 109:235

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  2. Stone B (1982) The state of the art in the measurement of the stiffness and damping of rolling element bearings. CIRP Annals-Manuf Technol 31(2):529–538

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  4. Jacobs W, Boonen R, Sas P, Moens D (2012) Measuring the rigid body behaviour of a deep groove ball bearing setup. Proceedings of ISMA2012-USD2012, pp 715–726

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Acknowledgments

This research is funded by a Ph.D. grant of the Agency for Innovation by Science and Technology (IWT). Part of this work was performed through the support of the IWT SBO-project Prognostics for Optimal Maintenance.

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Authors and Affiliations

  1. Department of Mechanical Engineering, KU Leuven, Celestijnenlaan 300B, 3001, Heverlee, Belgium

    William Jacobs, Rene Boonen & Paul Sas

  2. Campus De Nayer, Department of Applied Engineering, Lessius Mechelen, Jan De Nayerlaan 5, 2860, Sint-Katelijne-Waver, Belgium

    David Moens

  3. Department of Mechanical Engineering, KU Leuven, Leuven, Belgium

    David Moens

Authors
  1. William Jacobs
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  2. Rene Boonen
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  3. Paul Sas
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  4. David Moens
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Corresponding author

Correspondence to William Jacobs .

Editor information

Editors and Affiliations

  1. Engineering Department, University of Ferrara, Ferrara, Italy

    Giorgio Dalpiaz

  2. Department of Science and Engineering Methods, University of Modena and Reggio Emilia, Reggio Emilia, Italy

    Riccardo Rubini

  3. Engineering Department, University of Ferrara, Ferrara, Italy

    Gianluca D'Elia

  4. Department of Science and Engineering Methods, University of Modena and Reggio Emilia, Reggio Emilia, Italy

    Marco Cocconcelli

  5. Mechanical Engineering Department, National School of Engineers of Sfax, Sfax, Tunisia

    Fakher Chaari

  6. Institute of Mining Engineering, Diagnostics and Vibro-Acoustics Science Laboratory, Wrocław University of Technology, Wrocław, Poland

    Radoslaw Zimroz

  7. Institute of Mining Engineering, Diagnostics and Vibro-Acoustics Science Laboratory, Wrocław University of Technology, Wrocław, Poland

    Walter Bartelmus

  8. Mechanical Engineering Department, National School of Engineers of Sfax, Sfax, Tunisia

    Mohamed Haddar

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© 2014 Springer-Verlag Berlin Heidelberg

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Cite this paper

Jacobs, W., Boonen, R., Sas, P., Moens, D. (2014). Estimating Rolling Element Bearing Stiffness Under Different Operational Conditions Through Modal Analysis. In: Dalpiaz, G., et al. Advances in Condition Monitoring of Machinery in Non-Stationary Operations. Lecture Notes in Mechanical Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39348-8_8

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  • DOI: https://doi.org/10.1007/978-3-642-39348-8_8

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39347-1

  • Online ISBN: 978-3-642-39348-8

  • eBook Packages: EngineeringEngineering (R0)

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