Intelligent approaches using support vector machine and extreme learning machine for transmission line protection
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications
Reference26 articles.
1. Transmission line fault location for single phase to earth fault on non direct ground neutral system;Qingcao;IEEE Trans. Power Delivery,1998
2. A fault location for two and three terminal lines;Girgis;IEEE Trans. Power Delivery,1992
3. Development of a new type fault locator using the one terminal voltage and current data;Takagi;IEEE Trans. Power Apparat. Syst.,1982
4. A technique for estimating transmission line fault locations from digital impedance relay measurements;Sachdev;IEEE Trans. Power Delivery,1988
5. Fault location techniques for radial and loop transmission system using digital fault recorded data;Girgis;IEEE Trans. Power Delivery,1992
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