GIS Partial Discharge Pattern Recognition Based on a Novel Convolutional Neural Networks and Long Short-Term Memory

GIS Partial Discharge Pattern Recognition Based on a Novel Convolutional Neural Networks and Long Short-Term Memory

Distinguishing the types of partial discharge (PD) caused by different insulation defects in gas-insulated switchgear (GIS) is a great challenge in the power industry, and improving the recognition accuracy of the relevant models is one of the key problems. In this paper, a convolutional neural netw...

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Bibliographic Details
Main Authors: Tingliang Liu, Jing Yan, Yanxin Wang, Yifan Xu, Yiming Zhao
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Entropy
Subjects:
convolutional neural network
long short-term memory
partial discharge
pattern recognition
Online Access:https://www.mdpi.com/1099-4300/23/6/774

Internet

https://www.mdpi.com/1099-4300/23/6/774

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