Junfa Li

An interpretable cross-domain bearing fault diagnosis method based on domain-aware and informed-guided domain adaptation

Validation on multiple public bearing datasets demonstrates that IGDATL achieves higher accuracy and superior domain generalization performance, providing an innovative and practical solution for cross-domain intelligent diagnosis of complex industrial systems.

A dynamic spatio-temporal graph neural network adaptive to operating conditions: Learning evolutionary correlations in multi-sensor data for aero-engine