Recognition of pollution layer location in 11 kV polymer insulators used in smart power grid using dual-input VGG Convolutional Neural Network
This paper portrays the application of a Partial Discharge (PD) signal combined with the dual-input VGG Convolution Neural Network (CNN) to predict the location of the pollution layer on 11 kV polymer insulators subjected to alternating current for smart grid applications. First, a non-uniform pollu...
Saved in:
Main Authors: | B. Vigneshwaran, R.V. Maheswari, L. Kalaivani, Vimal Shanmuganathan, Seungmin Rho, Seifedine Kadry, Mi Young Lee |
---|---|
Format: | article |
Language: | EN |
Published: |
Elsevier
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/db1f6ec7a0df4bef991a0e487ca9daf5 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Electric field analysis of 66 kV and 110 kV SiR insulators under combined AC–DC voltages
by: Mehmet Murat Ispirli, et al.
Published: (2022) -
ON THE NEED TO INCREASE THE RELIABILITY OF LINEAR INSULATORS FOR DISTRIBUTION NETWORKS 10-20 KV
by: Yu. N. Shumilov, et al.
Published: (2018) -
A Novel Fuzzy Optimized CNN-RNN Method for Facial Expression Recognition
by: Dong Zhang, et al.
Published: (2021) -
A hybrid algorithm (BAPSO) for capacity configuration optimization in a distributed solar PV based microgrid
by: Ahmad Almadhor, et al.
Published: (2021) -
Power system stress analysis for main grid substations in Brazil
by: Duailibe Monteiro,Paulo R, et al.
Published: (2016)