Solution: T&D Engineering

Supervised and unsupervised deep learning models for partial discharge source detection and classification in electrical insulation

Assessing One-vs-All 1D-CNN Classifiers for Multi-Label Classification of Partial Discharge Waveforms in 3D-Printed Dielectric Samples with Different Void Sizes

Unsupervised Deep Learning for Detecting Number of Partial Discharge Sources in Stator Bars

Simplified Numerical Models in Simulating Corona Discharge and EHD Flows

Classification of partial discharge signals using 1d convolutional neural networks

A double-vortex EHD flow pattern generated by negative corona discharge in point-plane geometry

An interpretable CNN model for classification of partial discharge waveforms in 3D-printed dielectric samples with different void sizes

A convolutional neural network-based model for multi-source and single-source partial discharge pattern classification using only single-source training set

Deep learning in high voltage engineering: A literature review

Detection of subsynchronous control interaction oscillations near renewable generation and HVDC