Ageing Monitoring of GaN Transistors using Recurrent Neural Networks

Abstract

In this paper we propose a method to track the degradation of GaN transistors during high temperature switching operation. Using a Long Short-Term Memory (LSTM) based recurrent neural network (RNN) encoder decoder architecture we are able to determine whether the device is still working normally or if its behavior changed compared to the initial one.