Condition Forecasting of a Power Transformer Based on an Online Monitor with EL-CSO-ANN

Condition Forecasting of a Power Transformer Based on an Online Monitor with EL-CSO-ANN

Power transformers are vital to the power grid and discovering the latent faults in advance is helpful for avoiding serious problems. This study addressed the problem of forecasting and diagnosing the faults of power transformers with small dissolved gas analysis (DGA) data samples that arise from f...

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Bibliographic Details
Main Authors: Jingmin Fan, Huidong Shao, Yunfei Cao, Lutao Feng, Jianpei Chen, Anbo Meng, Hao Yin
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Energies
Subjects:
online DGA monitor
ensemble learning
CSO-NN
fault diagnosis
faults prediction
Online Access:https://www.mdpi.com/1996-1073/15/22/8587

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https://www.mdpi.com/1996-1073/15/22/8587

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