Author

D. M. Bourdalos

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Preprint Sep 2026

A Harmonic-Regression ARMA model for rotating machinery dynamics identification and fault detection under varying conditions

Fault detection in rotating machinery under varying operating conditions remains a challenging problem. Existing approaches are mainly based either on non-parametric vibration signal representations, parametric deep learning models, or on parametric ARMA-type models. While deep learning approaches often lack transparen...

D. M. Bourdalos, J. Sakellariou, S. Fassois · 0 citations

Preprint Sep 2026

Hidden Markov Model-Based Remaining Useful Life Estimation of Rolling Bearings Using Vibration Signals: A feasibility study

This feasibility study presents a Hidden Markov Model (HMM)-based methodology for the Remaining Useful Life (RUL) estimation of rolling element bearings when the training vibration signals differ significantly from those of the target bearing. An AutoRegressive (AR) model is first employed to capture the machinery dyna...

Ioannis Ksoulos, D. M. Bourdalos, J. Sakellariou et al. · 0 citations