A model-based approach for the estimation of bearing forces and moments using outer-ring deformation

Stijn Kerst, Barys Shyrokau, Edward Holweg

Research output: Contribution to journalArticleScientificpeer-review

12 Citations (Scopus)
93 Downloads (Pure)

Abstract

Bearing load estimation would form a valuable addition to the fields of condition monitoring and system control. Despite effort spend on its development by all major bearing manufacturers no product solution has come to market yet. This can be attributed to both the complexity in conditioning of the strain measurement as well as its non-linearity with respect to the bearing loading. To address these issues, this paper proposes a novel approach based on modeling of the physical behavior of the bearing. An Extended Kalman Filter including a novel strain model is applied for signal conditioning whereas an Unscented Kalman Filter including a semi-analytical bearing model is proposed for reconstruction of the bearing load. An experimental study in both laboratory and field conditions shows that the proposed cascaded Kalman filtering approach leads to accurate estimates for all four considered bearings loads in various loading conditions. Besides an improvement on accuracy, the novel approach leads to a reduction in calibration effort.
Original languageEnglish
Pages (from-to)461-470
JournalIEEE Transactions on Industrial Electronics
Volume67
Issue number1
DOIs
Publication statusPublished - 2019

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care

Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

  • Rolling Bearing
  • Condition monitoring
  • Load Reconstruction
  • Bearing modeling

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