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Fault Diagnosis in Oil-Immersed Transformers by Joseph Désiré HANDBE is a document available to read on EtoBox.

What is Fault Diagnosis in Oil-Immersed Transformers about?

This document presents a novel methodology for diagnosing faults in oil-immersed power transformers that minimizes maintenance costs while achieving high accuracy in failure detection. The approach utilizes correlation as a random variable and models the diagnosis problem as a hypothesis testing issue, verified through a benchmark test with 950 real historic data sets, achieving a detection accuracy of 92.85%. This methodology is the first to focus on optimizing maintenance costs in the context of transform

Author

Joseph Désiré HANDBE

Language

EN