Open access
2026
A Real-Time Framework for Low-Load Fault Detection and Multi-Level Fault Severity Assessment Using an Energy-Modulated Transformer Autoencoder
Experimental results on stator inter-turn faults across multiple low-load operating conditions demonstrate superior reconstruction performance compared with representative recurrent, transformer-based, and graph-based autoencoder models while maintaining computational efficiency suitable for low-latency deployment.
Chibuzo Nwabufo Okwuosa, J. Hur
· IEEE Access · 0 citations