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

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

The analysis of partial discharge (PD) signals has been identified as a standard diagnostic tool for monitoring the condition of different electrical apparatuses. This study proposes an approach to detecting PD patterns in gas-insulated switchgear (GIS) using a long short-term memory (LSTM) recurren...

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Bibliographic Details
Main Authors: Minh-Tuan Nguyen, Viet-Hung Nguyen, Suk-Jun Yun, Yong-Hwa Kim
Format: Article
Language:English
Published: MDPI AG 2018-05-01
Series:Energies
Subjects:
fault diagnosis
gas-insulated switchgear (GIS)
long short-term memory (LSTM)
partial discharges
recurrent neural network (RNN)
Online Access:http://www.mdpi.com/1996-1073/11/5/1202

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