Machine Learning Approach to Detect Arc Faults Based on Regular Coupling Features
Author:
Affiliation:
1. College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China
2. Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow, U.K.
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/9424/10064202/09720225.pdf?arnumber=9720225
Reference26 articles.
1. Characteristics analysis of AC arc fault in time and frequency domain
2. High Impedance Arc Fault Detection Based on the Harmonic Randomness and Waveform Distortion in the Distribution System
3. Intelligent Fault Diagnosis Method Based on Full 1-D Convolutional Generative Adversarial Network
4. A Multiagent-Based Methodology for Known and Novel Faults Diagnosis in Industrial Processes
5. Arc Fault Detection Method Based on CZT Low-Frequency Harmonic Current Analysis
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