POWER TRANSFORMER INSULATION SYSTEM HEALTH INDEX WITH MISSING DATA PREDICTION USING RANDOM FOREST
Health Index Transformer is currently the most common way to predict the health condition of transformers, to avoid the failure of the transformer, anticipation is needed by monitoring and maintaining the condition of the transformer. This study presents information regarding the diagnosis of tra...
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Main Author: | Chintia, Geby |
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Format: | Theses |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/77947 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
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