Power transformers internal fault diagnosis based on deep convolutional neural networks

Author:

Afrasiabi Mousa1,Afrasiabi Shahabodin1,Parang Benyamin1,Mohammadi Mohammad1

Affiliation:

1. Department of Power and Control Engineering, School of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference52 articles.

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2. Deep learning for biological image classification;Affonso;ExpertSystems with Applications,2017

3. Discrimination of internal fault from magnetising inrush current in power transformers based on sine-wave least-squares curve fitting method;Ahmadi;IET Science, Measurement & Technology,2015

4. A New Digital Dynamic Algorithm for Detection of Magnetizing Inrush Current in Transformers;Al-Othman;Electric Power Components and Systems,2009

5. A method to identify inrush currents in power transformers protection based on the differential current gradient;Alencar;Electric Power Systems Research,2014

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