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