Jul, 2026
Conference Paper
Autoencoder-Based Sensor Drift Detection and Mitigation for Resilient Charging Systems
This work presents an autoencoder-based approach for sensor signal reconstruction and drift detection for charging systems. The proposed strategy is implemented within a Simulink-based system framework and evaluated under multiple operating conditions. An autoencoder with 8 neurons in the bottleneck layer is adopted, achieving accurate reconstruction across 10 variables an…