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.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11570/3346069
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