Physics-defined HMM model for Reusable LPRE Bearing Remaining Useful Life Estimation

Author:

Galli Federica,Sircoulomb Vincent,Weber Philippe,Hoblos Ghaleb,Fiore Giuseppe

Publisher

Elsevier BV

Reference21 articles.

1. Behzad, M., Arghan, H.A., Bastami, A.R., and Zuo, M.J. (2017). Prognostics of rolling element bearings with the combination of paris law and reliability method. 2017 Prognostics and System Health Management Conference, PHM-Harbin 2017 - Proceedings.

2. Cartella, F., Lemeire, J., Dimiccoli, L., and Sahli, H. (2015). Hidden semi-markov models for predictive maintenance. Mathematical Problems in Engineering.

3. A descriptive model of wear evolution in rolling bearings;El-Thalji;Engineering Failure Analysis,2014

4. Galli, F., Fiore, G., Sircoulomb, V., Hoblos, G., and Weber, P. (2023a). Identification of degradation profiles for turbopump bearings in reusable liquid propellant rocket engines. Aerospace Europe Conference 2023–10TH EUCASS–9TH CEAS.

5. Dynamic modelling for non-stationary bearing vibration signals;Galli;2023 31st Mediterranean Conference on Control and Automation, MED,2023

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