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...
Main Authors: | Jingmin Fan, Huidong Shao, Yunfei Cao, Lutao Feng, Jianpei Chen, Anbo Meng, Hao Yin |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-11-01
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Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/15/22/8587 |
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