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 o