Dr. Arnaud NANFAK | transformateurs de puissance Award | Excellence in Research
Dr. Arnaud NANFAK , Université de Douala – Cameroun , Cameroon
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ACADEMIC BACKGROUND
- Ph.D. in Electrical Energy and Robotics, 2023
- Energy, Materials, Modeling, and Methods Laboratory
- Faculty of Engineering Sciences, University of Douala, Cameroon
- D.E.A. in Physics and Engineering Sciences, 2015
- Option: Electronics and Instrumentation
- School of Fundamental and Applied Sciences, Doctoral School
- DIPET 2 in Electrical Engineering, 2015
- Option: Electronics
- Higher Normal School of Technical Education of Douala, University of Douala, Cameroon
- Master’s in Physics, 2014
- Option: Electronics Sciences
- Faculty of Sciences, University of Douala, Cameroon
- Bachelor’s in Physics, 2012
- Option: Electronics, Electrotechnics, and Automation
- Faculty of Sciences, University of Ngaoundéré, Cameroon
- Secondary Education Diplomas, 2009
- Option: Physical Sciences and Mathematics
ARNARD NANFAK Ph.D. in Electrical Energy and Robotics Contractual Lecturer at Polytechnique de Douala Teacher at Technical and Professional Secondary Schools Tel: (+237) 695 26 23 80 / 620 150 808 / 678 289 787 Douala, Cameroon | nanfak.arnaud@yahoo.fr
RESEARCH AND THESES
- Nano-ampere CMOS current reference with little temperature dependence using small offset voltage (June 2014)
- Faculty of Sciences, University of Douala (Master’s in Physics)
- Observation and control of asynchronous machine without mechanical sensor using fuzzy controller (June 2015)
- Higher Normal School of Technical Education of Douala (DIPET 2)
- Study and development of a mini-supervisor for hybrid electrical energy sources network/solar for very good air conditioner power supply (December 2015)
- School of Fundamental and Applied Sciences, Doctoral School (D.E.A)
- Contribution to the diagnosis of internal faults in power transformers using conventional and hybrid approaches (July 2023)
- School of Fundamental and Applied Sciences, Doctoral School (Ph.D.)
SCIENTIFIC ARTICLES
- Arnaud Nanfak, et al., “A combined technique for power transformer fault diagnosis based on k-means clustering and support vector machine,” IET Nanodielectrics, 2024.
- Arnaud Nanfak, et al., “Traditional fault diagnosis methods for mineral oil-immersed power transformer based on dissolved gas analysis: Past, present and future,” IET Nanodielectrics, 2024.
- Arnaud Nanfak, et al., “Hybrid DGA method for power transformer faults diagnosis based on evolutionary k-means clustering and dissolved gas subsets analysis,” IEEE Transactions on Dielectrics and Electrical Insulation, 2023.
- Arnaud Nanfak, et al., “Hybrid Method for Power Transformers Faults Diagnosis Based on Ensemble Bagged Tree Classification and Training Subsets Using Rogers and Gouda Ratios,” International Journal of Intelligent Engineering & Systems, 2022.
- Arnaud Nanfak, et al., “Interpreting dissolved gases in transformer oil: A new method based on the analysis of labelled fault data,” IET Generation Transmission & Distribution, 2021.