BatteryBERT for Realistic Battery Fault Detection Using Point-Masked Signal Modeling

Overview

BatteryBERT adapts BERT-style pretraining to battery time series through tokenization and point-level masked signal modeling. Learned temporal representations are combined with battery metadata for fault classification on real-world data.