Optimal Harnessing Machine Learning for Monitoring and Predictive Maintenance in Electrical Transformers-Reference-Cited by-同舟云学术

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Optimal Harnessing Machine Learning for Monitoring and Predictive Maintenance in Electrical Transformers

Published:2024-06-11 Issue: Volume:14 Page:1-6
ISSN:
Container-title:2024 4th Interdisciplinary Conference on Electrics and Computer (INTCEC)
language:
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Author:

Hadiki Hanane¹,Hasnaoui Fouad Slaoui²,Georges Semaan³

Affiliation:

1. University of Quebec in Abitibi-Témiscamingue,Electrical Engineering Department,Rouyn-Noranda,Canada

2. University of Quebec in Abitibi-Témiscamingue,Engineering Department,Rouyn-Noranda,Canada

3. University Notre de Dame Lebanon,Electrical, Computer and Communication Engineering Department

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10602772/10602732/10603044.pdf?arnumber=10603044

Reference19 articles.

1. Risk of Fire and Explosion in Electrical Substations Due to the Formation of Flammable Mixtures

2. Predictive maintenance: a stochastic approach Maintenance predictive: une approche stochastique;Wolff,1996

3. Predictive maintenance scheduling for multiple power equipment based on data-driven fault prediction

4. Classification of faults in distribution transformer using machine learning

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