A self-supervised domain-adversarial graph convolutional network with temporal KNN graph construction for generalizable bearing condition recognition across multiple scenarios
Bearings are critical components in rotating machinery, and their condition recognition is essential to ensure operational safety and reliability. However, vibration signals collected under different operating scenarios often exhibit non-stationarity and distribution discrepancies, which limits the generalization abili...