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Bearing Spall Detection and Remaining Useful Life Prediction Using an Operational Binning Approach for eVTOLs

Manu Krishnan, Marc-Henri Bleu-Laine, Hans Leuthold, Silvestro Barbarino, Brian Gestner, Joby Aviation

https://doi.org/10.4050/F-0081-2025-0423

Abstract:
This paper presents a novel approach for bearing spall detection and Remaining Useful Life (RUL) prediction in electric vertical takeoff and landing (eVTOL) aircraft. By leveraging vibration-based signals and an operational binning methodology, a robust Health Index (HI) is developed using angular resampling-based order analysis. This HI accounts for varying operational conditions, providing a reliable indicator of bearing degradation. A piecewise Bayesian degradation model is then applied to predict RUL, facilitating effective predictive maintenance and enhancing eVTOL operations.


Bearing Spall Detection and Remaining Useful Life Prediction Using an Operational Binning Approach for eVTOLs

  • Presented at Forum 81
  • 9 pages
  • SKU # : F-0081-2025-0423
    • Integrated Vehicle Health Management (IVHM)

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Bearing Spall Detection and Remaining Useful Life Prediction Using an Operational Binning Approach for eVTOLs

Authors / Details: Manu Krishnan, Marc-Henri Bleu-Laine, Hans Leuthold, Silvestro Barbarino, Brian Gestner, Joby Aviation