Abstract
To ensure the reliability of power transformers, they are monitored for partial discharge (PD) events, which are symptoms of transformer failure. Our goal is to classify PDs to gain an understanding of the location of failure. We develop a small set of features and a stacking ensemble that outperform larger feature sets and other models in both accuracy and variance.
