Unsupervised Anomaly Detection Based on Diffusion Model‐Enhancement for Bearing Vibration Signals
Unsupervised anomaly detection plays a crucial role in prognostics and health management. Industrial equipment predominantly operates in a normal state throughout its service life, rendering faults rare and the collection of sufficient fault samples impractical. This necessitates unsupervised approaches that establis...