Quan-Jun Li

Bearing Fault Diagnosis Under Data Imbalance and Heavy Noise: An Adaptive Weighted Heterogeneous Ensemble Learning Framework

Recent advances have been achieved in intelligent fault diagnosis of rolling bearings. However, noise interference and data imbalance remain critical challenges for achieving accurate and reliable fault diagnosis in practical industrial applications. To address the limited robustness of conventional deep learning model...