Deep Learning-Based Transformer Moisture Diagnostics Using Long Short-Term Memory Networks

Deep Learning-Based Transformer Moisture Diagnostics Using Long Short-Term Memory Networks

Power transformers play a crucial role in maintaining the stability and reliability of energy systems. Accurate moisture assessment of transformer oil-paper insulation is critical for ensuring safe operating conditions and power transformers’ longevity in large interconnected electrical grids. The m...

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Bibliographic Details
Main Authors: Aniket Vatsa, Ananda Shankar Hati, Vadim Bolshev, Alexander Vinogradov, Vladimir Panchenko, Prasun Chakrabarti
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Energies
Subjects:
power transformer
oil-immersed insulation
moisture forecasting
long short-term memory
Online Access:https://www.mdpi.com/1996-1073/16/5/2382

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https://www.mdpi.com/1996-1073/16/5/2382

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