A method for monitoring voltage drift includes measuring a voltage across a diode of a power device, providing the measured voltage as an input to a controller, the controller being configured to run a transformer-based model, and forecasting a range of expected future values of the voltage across the diode of the power device with the transformer-based model. The transformer-based model may include a temporal fusion transformer with a temporal convolutional neural network and an adversarial compensation model with a backpropagation algorithm.
System and method for voltage drift monitoring
Michele Calabretta;
2025-01-01
Abstract
A method for monitoring voltage drift includes measuring a voltage across a diode of a power device, providing the measured voltage as an input to a controller, the controller being configured to run a transformer-based model, and forecasting a range of expected future values of the voltage across the diode of the power device with the transformer-based model. The transformer-based model may include a temporal fusion transformer with a temporal convolutional neural network and an adversarial compensation model with a backpropagation algorithm.File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


