Intelligent Fault Detection and Diagnosis Techniques for Monitoring Wind and Solar Systems

Dr. Majdi Mansouri is an Associate Professor, at the Department of Electrical and Computer Engineering, Sultan Qaboos University, in the Sultanate of Oman. A Senior Member of the IEEE, he received this Ph.D. degree in electrical engineering from the University of Technology of Troyes (UTT), France, in 2011, and the H.D.R. degree (accreditation to supervise research) in electrical engineering from the University of Orleans, France, in 2019. From 2011 to 2024, he held different research positions at Texas A&M University at Qatar, in Doha. Since September 2024, he has been with Sultan Qaboos University as an Associate Professor. Dr. Mansouri has authored more than 250 publications, as well as the book 'Data-Driven and Model-Based Methods for Fault Detection and Diagnosis' (Elsevier, 2020). His research interests include the development of model-based, data-driven, and AI-based techniques for fault detection and diagnosis.is a member of IEEE.Dr. Abdelmalek Kouadri is a Professor of Electrical Engineering at the Institute of Electrical and Electronics Engineering, University M'Hamed Bougara of Boumerdès, in Algeria. He has more than 15 years of combined academic and industrial experience. His research interests relate to systems engineering and control, with emphasis on process modelling, monitoring, and estimation. Prof. Kouadri has published more than 80 refereed journal and conference publications as well as book chapters. He has served as a technical committee member of several international journals and conferences.Dr. Mansour Hajji is an Assistant Professor at the Higher Institute of Applied Science and Technology of Kasserine, Kairouan University, Tunisia, where he has been working since 2013. He received his Ph.D. degree in electrical engineering from the National Engineering School of Tunis (ENIT), Tunis, in 2013. Dr. Hajji is the author of several publications, and his current research interests include electrical machines, design and control, and machine learning techniques for fault detection and diagnosis.Dr. Mohamed Faouzi Harkat is a Professor in the Department of Electronics, at Badji Mokhtar – Annaba University, Algeria, which he joined in 2004. He received his Ph.D. degree from the Institut National Polytechnique de Lorraine (INPL), France, in 2003. From 2002 to 2004, he was an Assistant Professor at the School of Engineering Sciences and Technologies of Nancy (ESSTIN), France. Prof. Harkat has over twenty years of research and practical experience in systems engineering and process monitoring. He is the author of more than 100 refereed journal and conference publications, as well as book chapters, and has served as an Associate Editor and in technical committees of several international journals and conferences.