Internal fault diagnosis of power transformer using artificial neural network-Reference-Cited by-同舟云学术

Internal fault diagnosis of power transformer using artificial neural network

Published:2021-03 Issue: Volume: Page:
ISSN:2214-7853
Container-title:Materials Today: Proceedings
language:en
Short-container-title:Materials Today: Proceedings

Author:

Naganathan G.S.,Senthilkumar M.,Aiswariya S.,Muthulakshmi S.,Santhiya Riyasen G.,Mamtha Priyadharshini M.

Publisher

Elsevier BV

Subject

General Medicine

Reference23 articles.

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2. Ena Narang, Er Shivanisehgal, Fault Detection Techniques for Maintenance Using Dissolved gas Analysis, International Journal of Engineering Research & Technology (IJERT), 2012, pp 01-07

3. Dissolved gas Analysis an Early Identification of Transformer Faults;Ghoneim;Advances in Electrical Engineering Systems (AEES),2012

4. Andri Febriyanto, Tapan Kumar Saha, Oil-immersed Power Transformers Condition Diagnosis with Limited Dissolved Gas Analysis (DGA) Data, Australasian Universities Power Engineering Conference (AUPEC). 2008, 073

5. IEEE Std. C57.104-2008. IEEE Guide for the Interpretation of Gases Generated in Oil-Immersed Transformers. Institute of Electrical and Electronics Engineers, Inc., New York, 2008, pp 9–27.

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