Analytics of Waveform Distortion Variations in Railway Pantograph Measurements by Deep Learning
Author:
Affiliation:
1. Electric Power Engineering, Luleå University of Technology, Skellefteå, Sweden
2. Department of Electrical, Electronics and Telecommunication Engineering and Naval Architecture (DITEN), University of Genoa, Genoa, Italy
Funder
Trafikverket
Swedish Energy Agency
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/19/9717300/09853622.pdf?arnumber=9853622
Reference46 articles.
1. Application of GWO-SVM Algorithm in Arc Detection of Pantograph
2. Identification Method for Series Arc Faults Based on Wavelet Transform and Deep Neural Network
3. Deep Learning Method With Manual Post-Processing for Identification of Spectral Patterns of Waveform Distortion in PV Installations
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