Improved Particle Swarm Optimization-based Support Vector Machine for Fault Diagnostic of Arrester
Author:
Affiliation:
1. Facculty of Electrical & Electronic Engineering Nha Trang University,Vietnam
2. Facculty of Civil Engineering Nha Trang University,Vietnam
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9987719/9988752/09989251.pdf?arnumber=9989251
Reference28 articles.
1. Evaluation of MOSA condition using leakage current method;stojanovi?;Int J Elec Power,2013
2. Experimental verification of monitoring techniques for metal‐oxide surge arrester
3. Artificial neural networks used for ZnO arrester diagnosis;tavares;IEEE Trans Power Deliv,2009
4. Metal oxide surge arrester condition monitoring based on analysis of leakage current components
5. Condition Monitoring of Zinc Oxide Surge Arresters
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