Constellation, le dépôt institutionnel de l'Université du Québec à Chicoutimi

Article publié dans une revue avec comité d'évaluation

El Amine, Mohammed, Brahami, Mostefa et Fofana, Issouf. (2018). Combining and comparing different machine learning algorithms to improve dissolved gas analysis interpretation. IET Generation, Transmission & Distribution, 12, (15), p. 3673-3679.

Hendel, Mounia, Meghnefi, Fethi, Senoussaoui, Mohammed El Amine, Fofana, Issouf et Brahami, Mostefa. (2023). Using Generic Direct M-SVM Model Improved by Kohonen Map and Dempster–Shafer Theory to Enhance Power Transformers Diagnostic. Sustainability, 15, (21), e15453.

Senoussaoui, Mohammed El Amine, Brahami, Mostefa et Fofana, Issouf. (2021). Transformer oil quality assessment using random forest with feature engineering. Energies, 14, (7), p. 1809.

Ungarala, Mohan Rao, Fofana, Issouf, Bétié, Amidou, Senoussaoui, M.L., Brahami, Mostefa et Briosso, Eduardo. (2019). Condition monitoring of in-service oil-filled transformers: Case studies and experience. IEEE Electrical Insulation Magazine, 35, (6), p. 33-42.

Matériel de conférence

Senoussaoui, Mohammed El Amine, Fofana, Issouf et Brahami, Mostefa. (2021). Influence of Oil Quality on the Interpretation of Dissolved Gas Analysis Data. Dans : 2021 IEEE 5th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON) , 3-5 Dec. 2021, Kozhikode, India.