An Algorithm for Fast Fault Location and Classification Based on Mathematical Morphology and Machine Learning
Author:
Affiliation:
1. Sandia National Laboratories,Albuquerque,NM
Funder
Office of Energy
Sandia National Laboratories
U.S. Department of Energy
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9817414/9817460/09817473.pdf?arnumber=9817473
Reference18 articles.
1. Ultra-high-speed directional protection of transmission lines using mathematical morphology
2. A new morphology method for enhancing power quality monitoring system
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4. A Dual-Window Transient Energy Ratio-Based Adaptive Single-Phase Reclosure Criterion for EHV Transmission Line
5. Application of Mathematical Morphology based filters to detect a power swing
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