A Convolutional Neural Network-Based Model for Multi-Source and Single-Source Partial Discharge Pattern Classification Using Only Single-Source Training Set

Classification of Partial Discharge Images Using Deep Convolutional Neural Networks

(2020) Marek Florkowski   Energies

One-Shot Learning for Partial Discharge Diagnosis Using Ultra-High-Frequency Sensor in Gas-Insulated Switchgear

(2020) Vo-Nguyen Tuyet-Doan et al.   SENSORS

Partial Discharge Classification Using Deep Learning Methods—Survey of Recent Progress

(2019) Barrios et al.   Energies

A novel method of inter-turn fault detection for next-generation smart transformers based on deep learning algorithm

(2019) Lian Duan et al.   High Voltage

Classification of Common Discharges in Outdoor Insulation Using Acoustic Signals and Artificial Neural Network

(2019) Ayman El-Hag et al.   High Voltage

Partial Discharge Pattern Recognition of Gas-Insulated Switchgear via a Light-Scale Convolutional Neural Network

(2019) Yanxin Wang et al.   Energies

Recurrent Neural Network for Partial Discharge Diagnosis in Gas-Insulated Switchgear

(2018) Minh-Tuan Nguyen et al.   Energies

GIS partial discharge pattern recognition via deep convolutional neural network under complex data source

(2018) Hui Song et al.   IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION

Recent advances in convolutional neural networks

(2018) Jiuxiang Gu et al.   PATTERN RECOGNITION

A Review of Online Partial Discharge Measurement of Large Generators

(2017) Yuanlin Luo et al.   Energies

A deep learning framework using convolution neural network for classification of impulse fault patterns in transformers with increased accuracy

(2017) D. Dey et al.   IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION

Classification of simultaneous multiple partial discharge sources based on probabilistic interpretation using a two-step logistic regression algorithm

(2017) Hamed Janani et al.   IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION

Assessment of PD severity in gas-insulated switchgear with an SSAE

(2017) Ju Tang et al.   IET Science Measurement & Technology