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Elhoussin ELBOUCHIKHI
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Documents
Researcher identifiers
elhoussin-elbouchikhi
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0000-0002-7173-9318
- Google Scholar : https://scholar.google.fr/citations?user=1MBYW8EAAAAJ&hl=fr/
- IdRef : 253122139
Presentation
I received the diploma engineer degree (Dipl.-Ing.) in Automatic and Electrical Engineering and Research Master’s degree in Automatic Systems, Computer Science and Decision, from the National Polytechnic Institute of Toulouse (ENSEEIHT), Toulouse, France, in 2010. Then, I recieved the Ph.D. degree and the Habilitation à Diriger des Recherches (HDR : Highest French Degree) in Electrical Engineering from the University of Brest, Brest, France in 2013 and 2020, respectively.
After receiving the Ph.D. degree, I have been a Research Fellow at ISEN Yncréa Ouest, Brest, France and an Associate Member of the LBMS\_Lab (EA 4325) from October 2013 to September 2014. Since September 2014, I am an Associate Professor at ISEN Yncréa Ouest and a member of Energy and Electrical Systems Team of LABISEN, Brest, France. I am in charge of Energy Master's program and a member of the steering committe of the LABISEN. From 2016 to 2020, I was an affiliated member of the Institut de Recherche Dupuy de Lôme – IRDL (UMR CNRS 6027).
I was elevated to the grade of IEEE Senior Member in 2019. Since 2020, I am a Topic Editor for MDPI Energies Journal and a member of the Editorial Board of MDPI Energies. I am also an Associate Editor for IET GTD. I authored more than 70 papers in national and internantional journals and conferences and three book chapters. I regularly serve as a reviewer for national and international journals and conferences.
My current research interests include electrical machines faults detection and diagnosis, fault tolerant control, and signal processing and statistics for power systems monitoring. I'm also interested in power electronics for EV's charging stations, energy management systems for microgrids-based on renewables, and marine renewable energy systems such as offshore wind and marine current turbines.
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Parametric signal processing approachSignal Processing for Fault Detection and Diagnosis in Electric Machines and Systems, Institution of Engineering and Technology, pp.3-50, 2020, ⟨10.1049/PBPO153E_ch1⟩
Book sections
hal-03412705v1
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Modal Decomposition for Bearing Fault DetectionISTE. Electrical Systems 1: From diagnosis to prognosis, 2020, 9781786304650
Book sections
hal-02903342v1
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Bearing Fault Diagnosis in Rotating MachinesISTE. Electrical systems 2: From diagnosis to prognosis, 2020, 9781786306081
Book sections
hal-02903344v1
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On parametric spectral estimation for induction machine faults detection in stationary and nonstationary environmentsEngineering Sciences [physics]. Université de Bretagne occidentale - Brest, 2013. English. ⟨NNT : ⟩
Theses
tel-01019643v1
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