Degradation Modelling and Prognostics of Rotating Equipment with Automated Machine Learning
Abstract Evaluating and predicting equipment degradation is essential to the reliability and safety of mechanical equipment systems. Condition monitoring based on sensors measuring vibration signals has emerged as the most well-established method for enabling detection and prediction of the health state…
