Generally, real-world signals exhibit intrinsic nonstationary characteristics, resulting in a significant challenge the context of anomaly detection for time-series data. In this study, a novel ...

Abstract: Rotatory machinery commonly operates in complex environments with strong noise and variable working conditions. Time–frequency representation offers a valuable method for capturing and ...