Hermite Transform Based Algorithm for Detection and Classification of High Impedance Faults
Author:
Affiliation:
1. Escuela de Ingeniería y Ciencias, Tecnologico de Monterrey, Monterrey, Mexico
2. Facultad de Ingeniería, Coyoacán, Universidad Nacional Autónoma de México, Mexico City, Mexico
Funder
Universidad Nacional Autónoma de México by means of the Programa de Apoyo a Proyectos de Investigación e Innovación Tecnológica
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09843998.pdf?arnumber=9843998
Reference34 articles.
1. A Resilient Protection Scheme for Common Shunt Fault and High Impedance Fault in Distribution Lines Using Wavelet Transform
2. Hybrid modified evolutionary particle swarm optimisation-time varying acceleration coefficient-artificial neural network for power transformer fault diagnosis
3. Performance-based fault detection approach for the dew point process through a fuzzy multi-label support vector machine
4. An automated faults classification method based on binary pattern and neighborhood component analysis using induction motor
5. Sustainable Deep Learning at Grid Edge for Real-time High Impedance Fault Detection
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