Thermography and artificial intelligence in transformer fault detection-Reference-Cited by-同舟云学术

Thermography and artificial intelligence in transformer fault detection

Published:2017-06-28 Issue:3 Volume:100 Page:1317-1325
ISSN:0948-7921
Container-title:Electrical Engineering
language:en
Short-container-title:Electr Eng

Author:

dos Santos Gustavo Maciel^ORCID,de Aquino Ronaldo R. B.,Lira Milde M. S.

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Electrical and Electronic Engineering

Link

http://link.springer.com/article/10.1007/s00202-017-0595-2/fulltext.html

Reference29 articles.

1. Silva AM de S (2012) Ferramenta inteligente de classificação do diagnóstico de falhas incipientes em transformadores de potência imersos em óleo’. Federal University of Pernambuco, Recife

2. Sefidgaran M, Mirzaie M, Ebrahimzadeh A (2011) Reliability model of the power transformer with ONAF cooling. Int J Electr Power Energy Syst 35(1):97–104

3. Norton EC (2011) Condition monitoring and assessment of power transformers using computational intelligence. Int Rev Econ Financ 20(4):850–851

4. Chatterjee A, Bhattacharjee P, Roy NK, Kumbhakar P (2013) Usage of nanotechnology based gas sensor for health assessment and maintenance of transformers by DGA method. Int J Electr Power Energy Syst 45(1):137–141

5. Jaffery ZA, Dubey AK (2014) Design of early fault detection technique for electrical assets using infrared thermograms. Int J Electr Power Energy Syst 63:753–759

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