A MobileNets Convolutional Neural Network for GIS Partial Discharge Pattern Recognition in the Ubiquitous Power Internet of Things Context: Optimization, Comparison, and Application

A MobileNets Convolutional Neural Network for GIS Partial Discharge Pattern Recognition in the Ubiquitous Power Internet of Things Context: Optimization, Comparison, and Application

With the construction and promotion of the Ubiquitous Power Internet of Things (UPIoT), it is an increasingly urgent challenge to comprehensively improve the recognition accuracy of the gas-insulated switchgear (GIS) partial discharge (PD), and to incorporate the model into UPIoT intelligent termina...

Full description

Bibliographic Details
Main Authors: Yanxin Wang, Jing Yan, Qifeng Sun, Junyi Li, Zhou Yang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Gas-insulated switchgear
mobilenets convolutional neural network model
partial discharge
pattern recognition
ubiquitous power Internet of Things
Online Access:https://ieeexplore.ieee.org/document/8865063/

Internet

https://ieeexplore.ieee.org/document/8865063/

Similar Items