Li-Ming Liu

Global–local isolation-based evidence fusion for unsupervised gearbox fault detection

Gearbox fault detection under practical operating conditions is challenged by scarce fault labels, heterogeneous sensor measurements, and condition-dependent anomaly patterns. This paper proposes a healthy-only unsupervised framework that combines Isolation Forest (iForest), Isolation-based Nearest Neighbor Ensemble (i...