Farzin Piltan

MRCFN: A multi-sensor residual convolutional fusion network for intelligent fault diagnosis of bearings in noisy and small sample scenarios

Inverse physics–informed neural networks for digital twin–based bearing fault diagnosis under imbalanced samples

Crack Size Identification for Bearings Using an Adaptive Digital Twin

Hybrid Fault Diagnosis of Bearings: Adaptive Fuzzy Orthonormal-ARX Robust Feedback Observer