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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Bibliographic Details
Main Author: Chintia, Geby
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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