A Two-Stage Hybrid Architecture for Unknown Anomaly Detection in Rotating Machinery Bearings
Supervised fault classifiers frequently encounter difficulties when dealing with faults that are not present in the training data, which is a prevalent issue in industrial contexts. To mitigate this limitation, we introduce a two-stage hybrid framework for diagnosing bearing fault. In the first stage, a supervised clas...