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Akademický článek

A combined technique for power transformer fault diagnosis based on k‐means clustering and support vector machine

Autor: Arnaud Nanfak, Abdelmoumene Hechifa, Samuel Eke, Abdelaziz Lakehal, Charles Hubert Kom, Sherif S. M. Ghoneim

Publikováno v: IET Nanodielectrics, Vol 7, Iss 3, Pp 175-187 (2024)

Abstract This contribution presents a two‐step hybrid diagnostic approach, combining k‐means clustering for subset formation, followed by subset analysis conducted by human experts. As the feature input vector has a significant influence on the p

Externí odkaz: https://doaj.org/article/e017afe463634f4394e6f898d972e07f

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Akademický článek

A novel brushless de‐excitation system for synchronous generators using a buck chopper with a freewheeling discharge resistor

Autor: Gildas Martial Ngaleu, Aurélien Tamtsia Yeremou, Charles Hubert Kom, Samuel Eke, Arnaud Nanfak

Publikováno v: IET Electric Power Applications, Vol 17, Iss 3, Pp 314-329 (2023)

Abstract A new de‐excitation system for advanced brushless excitation based on a synchronous generator is presented. The proposed system uses a discharge resistor in series with a freewheeling diode of a buck chopper. It improves the reliability of

Externí odkaz: https://doaj.org/article/36e1b691113946fdbd1425c49b6950db

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Akademický článek

Wind data modeling and energy mapping of the wind potential in the city of Douala (Cameroun)

Autor: Yvan Martino Dantse, Samuel Eke, Endouche Kouokam, Cyrille Mezoue, Jean – Luc Nsouandele, Ruben Mouangue

Publikováno v: Revue des Énergies Renouvelables, Vol 25, Iss 2, Pp 169 – 186-169 – 186 (2022)

This work helps in the implementation of wind energy projects in the city of Douala. Wind data used (speed and direction) were collected from January 1, 2020, to December 31, 2020, at a height of 10m. The use of wind speed distribution laws allowed u

Externí odkaz: https://doaj.org/article/ab1a42a5a6df492e8efc828ba4d47bf1

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Akademický článek

Interpreting dissolved gases in transformer oil: A new method based on the analysis of labelled fault data

Autor: Arnaud Nanfak, Samuel Eke, Charles Hubert Kom, Ruben Mouangue, Issouf Fofana

Publikováno v: IET Generation, Transmission & Distribution, Vol 15, Iss 21, Pp 3032-3047 (2021)

Abstract In this contribution, a new dissolved gas analysis (DGA) method combining key gases and ratio approaches for power transformer fault diagnostic is presented. It is based on studying subsets and uses the five main hydrocarbon gases including

Externí odkaz: https://doaj.org/article/ddf15fab72de4190a898248c9c8fde71

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Akademický článek

Preprocessing Approach for Power Transformer Maintenance Data Mining Based on k-Nearest Neighbor Completion and Principal Component Analysis

Autor: Moïse Manyol, Samuel Eke, Alphonse J. M. Massoma, Alain Biboum, Ruben Mouangue

Publikováno v: International Transactions on Electrical Energy Systems, Vol 2022 (2022)

The accuracy of a knowledge extraction algorithm in a large database depends on the quality of the data preprocessing and the methods used. The massive amounts of data that we collect every day are putting storage capacity at a premium. In reality, m

Externí odkaz: https://doaj.org/article/a8a922bb34c54f509c79f42b349c6c0e

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