Fault classification in SEIG system using Hilbert-Huang transform and least square support vector machine-Reference-Cited by-同舟云学术

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Fault classification in SEIG system using Hilbert-Huang transform and least square support vector machine

Published:2016-03 Issue: Volume:76 Page:11-22
ISSN:0142-0615
Container-title:International Journal of Electrical Power & Energy Systems
language:en
Short-container-title:International Journal of Electrical Power & Energy Systems

Author:

Dalei Jyotirmayee,Mohanty Kanungo Barada

Funder

CDAC, Thiruvananthapuram, Govt. of India

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference30 articles.

1. A new control strategy for a stand-alone self-excited induction generator driven by a variable speed wind turbine;Deraz;Renew Energy,2013

2. Digital signal processor based fuzzy voltage and frequency regulator for self-excited induction generator;Palwalia;Electric Pow Comp Syst,2010

3. Performance of an isolated induction generator under unbalanced loads;Idjdarene;IEEE Trans Energy Convers,2010

4. Analysis of the self excited induction generator steady state performance using a new efficient algorithm;Kheldoun;Electric Power Syst Res,2012

5. Transient performance of three-phase self-excited induction generator during balanced and unbalnced faults;Jain;Proc IEE Gener Transm Distrib,2002

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