Dealing With Data Uncertainty for Transformer Insulation System Health Index

Health index has been widely accepted as a powerful tool for monitoring the condition of power transformer insulation system based on various diagnostic parameters. While this approach extensively discussed in literature, not much attention was given to provide effective solutions uncertainty used data. According CIGRE 761, data quality issues may arise due measurement accuracy well incompleteness and unavailability required Therefore, article presents implementation evaluation certainty level model health deal with uncertainty. The impact results is also investigated. Certainty determined by criticality available data, reported along result. A method handle unavailable predicting oil interfacial tension (IFT) using Random Forest presented. proposed designed accommodate predicted value missed into while considering its prediction accuracy. robustness developed validated through application assessing six in-service transformers. indicate that including eliminate issue uncertain an asset management decision can be taken operating fleets high confidence.