Partial discharge (PD) results from deterioration to
the insulation of high voltage equipment in power grids, such as
transformers, switch gears, and cable terminals. PD monitoring
is a promising approach that ensures the reliable performance of
electrical assets through condition based maintenance. Machine
learning techniques have been successfully used to discover
features and specific patterns that can differentiate between
partial discharges and noise.