Issouf Fofana

Professeur et ingénieur

Université du Québec à Chicoutimi

Canada

Research Interests

Explore related searches

Professors in Canada Professors in Electrical Engineering Electrical Engineering professors in Canada

Contact this professor

ORCID

Google Scholar

Academic Page

About

Prof. Issouf Fofana is a Professor and Engineer at Université du Québec à Chicoutimi, Canada. His research focuses on the dielectric properties of insulating liquids, including synthetic esters and mineral oils, as well as the use of machine learning for fault diagnosis in power transformers. Recent articles authored by Professor Fofana explore topics such as the reclamation of dielectric liquids and the feasibility of optical sensing for transformer winding deformations.

Issouf Fofana

Research Interests

Explore related searches

Contact this professor

About

Articles (30)

Reclamation of Synthetic Ester Dielectric Liquids by Pressure and Gravity Percolation Methods

Spectral Analysis of Electrical Discharge in Mineral Oil—Comparison With Air Discharge

On the Feasibility of Localizing Transformer Winding Deformations Using Optical Sensing and Machine Learning

Effect of Moisture and Aging of Kraft Paper Immersed in Mineral Oil and Synthetic Ester on Bubbling Inception Temperature in Power Transformers

Impact of Cu₂S Activity on Dielectric Properties of Oil-Paper Insulation Under Different Ambient Conditions

Improving the Reliability of Dissolved Gas Analysis (DGA) Diagnostics Through Consideration of Measurement Device Uncertainty

Thermal and Electrical Fault Diagnosis in Oil–Paper Insulation System: A Comparative Study of Natural Esters and Mineral Oil

A State-of-the-Art Review on the Potential of Waste Cooking Oil as a Sustainable Insulating Liquid for Green Transformers

Multiclass Fault Diagnosis in Power Transformers Using Dissolved Gas Analysis and Grid Search-Optimized Machine Learning

Improving Oxidation Stability and Insulation Performance of Plant-Based Oils for Sustainable Power Transformers

The Catalytic Effect of Low Molecular Weight Acids on the Physicochemical and Dielectric Properties of Oil-Paper Insulation Systems

Review of Various Sensor Technologies in Monitoring the Condition of Power Transformers

Aging characterization of thermally aged transformer paper based on its reflectance

An Intelligent Power Transformers Diagnostic System Based on Hierarchical Radial Basis Functions Improved by Linde Buzo Gray and Single-Layer Perceptron Algorithms

Differential Low-Temperature AC Breakdown Between Synthetic Ester and Mineral Oils: Insights From Both Molecular Dynamics and Quantum Mechanics

Oil Quality Index Model Verification and Validation Using Total Acid Number and Interfacial Tension Experimental Data

Quantitative Estimation of the Gelling in Thermally Aged Natural Ester Dielectric Liquid

Using Deep Learning to Detect Anomalies in On-Load Tap Changer Based on Vibro-Acoustic Signal Features

A state-of-the-art review on green nanofluids for transformer insulation

Modeling and Predicting the Mechanical Behavior of Standard Insulating Kraft Paper Used in Power Transformers under Thermal Aging

Step by step progress to achieve an icephobic silicone‐epoxy hybrid coating: Tailoring matrix composition and additives

Power Transformers OLTC Condition Monitoring Based on Feature Extraction from Vibro-Acoustic Signals: Main Peaks and Euclidean Distance

Prebreakdown and Breakdown Behavior of Low Pour Point Dielectric Liquids Under Negative Lightning Impulse Voltage

Rheological Analysis of Thermally Aged Natural Ester Fluid Using Nonlinear Least Square Technique

Reproducing Transformers’ Frequency Response from Finite Element Method (FEM) Simulation and Parameters Optimization

Bubbling Phenomena in Liquid-Filled Transformers: Background and Assessment

On the Feasibility of Monitoring Power Transformer’s Winding Vibration and Temperature along with Moisture in Oil Using Optical Sensors

Performance Assessment of Cellulose Paper Impregnated in Nanofluid for Power Transformer Insulation Application: A Review

Influence of Data Balancing on Transformer DGA Fault Classification With Machine Learning Algorithms

Analysis of Breakdown Voltage of Low Pour Point Synthetic Ester Insulating Liquids under Lightning Impulse Voltage of both Polarities

Collaborators (7)

Konrad Strzelecki

Ramzi Zarrougui

Paweł Rózga

Fethi Meghnefi

Arshad Arshad

Ungarala Mohan Rao

F. Stuchala

How do I reach out?

Meet Kite AI