2 papers
cs.LG2026
Polarized Direct Cross-Attention Message Passing in GNNs for Machinery Fault Diagnosis
Zongyu Shi, Laibin Zhang, Maoyin Chen
The reliability of safety-critical industrial systems hinges on accurate and robust fault diagnosis in rotating machinery. Conventional graph neural networks (GNNs) for machinery f…
eess.SY2024
Autoencoder-assisted Feature Ensemble Net for Incipient Faults
Mingxuan Gao, Min Wang, Maoyin Chen
Deep learning has shown the great power in the field of fault detection. However, for incipient faults with tiny amplitude, the detection performance of the current deep learning n…