G. Rigatos, M. Abbaszadeh, M. A. Hamida, P. Siano

Fault Diagnosis for Electric Power Systems and Electric Vehicles (eBook, PDF)

• Format: PDF

Produktbeschreibung

In the monograph on Fault diagnosis for electric power systems and electric vehicles, the following issues are analyzed

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 250
• Erscheinungstermin: 30. Oktober 2024
• Englisch
• ISBN-13: 9781040134283
• Artikelnr.: 72274051

Autorenporträt

Dr. Gerasimos Rigatos obtained his diploma (1995) and his Ph.D. (2000) both from
the Department of Electrical and Computer Engineering, of the National Technical
University of Athens (NTUA), Greece. In 2001 he was a post-doctoral researcher
at IRISA-INRIA, Rennes, France. He is currently a Research Director (Researcher
Grade A') at the Industrial Systems Institute, Greece. He is a Senior Member of
IEEE, and a Member and CEng of IET. He has led several research cooperation
agreements and projects which have given accredited results in the areas of nonlinear
control, nonlinear filtering and control of distributed parameter systems. His
results appear in 8 research monographs and in several journal articles. According
to Elsevier Scopus his research comprising 135 journal articles where he is the first
or sole author, has received more than 3000 citations with an H-index of 26. Since
2007, he has been awarded visiting professor positions at several academic institutions
(University Paris XI, France, Harper-Adams University College, UK, University
of Northumbria, UK, University of Salerno, Italy, Ecole Centrale de Nantes,
France). He is an editor of the Journal of Advanced Robotic Systems and of the SAE
Journal of Electrified Vehicles.

Dr. Masoud Abbaszadeh obtained a B.Sc and an M.Sc in Electrical Engineering from
Amirkabir University of Technology and Sharif University of Technology, in Iran,
respectively. Next, he received a Ph.D. degree in Electrical Engineering (Controls)
in 2008 from the University of Alberta, Canada. From 2008 to 2011, he was with
Maplesoft,Waterloo, Ontario, Canada, as a Research Engineer. He was the principal
developer of MapleSim Control Design Toolbox and was a member of a research
team working on the Maplesoft-Toyota joint projects. From 2011 to 2013, he was
a Senior Research Engineer at United Technologies Research Center, East Hartford,
CT, USA, working on advanced control systems, and complex systems modeling and
simulation. Currently he is a Principal Research Engineer at GE Research Center,
Niskayuna, NY, USA. He has also held an Adjunct Professor position at Rensselaer
Polytechnic Institute, NY, USA. He has over 150 peer-reviewed papers, 9 book
chapters, and holds 39 issued US patents, with over 40 more patents pending.. His
research interests include estimation and detection theory, robust and nonlinear control,
and machine learning with applications in diagnostics, cyber-physical resilience
and autonomous systems. He serves as an Associate Editor of IEEE Transactions
on Control Systems Technology, and a member of IEEE CSS Conference Editorial
Board.

Dr. Mohamed-Assaad Hamida was born in El Oued, Algeria, in 1985. He received
the B.Sc . degree in electrical engineering from the University of Batna, Batna, Algeria,
in 2009, the M.Sc. degree in automatic control from Ecole Nationale Superieure
d'Ingenieurs de Poitiers (ENSIP), Poitiers, France, in 2010, and the Ph.D degree in
automatic control and electrical engineering from Ecole centrale de Nantes, Nantes,
France, in 2013. From 2013 to 2017, he was an Associate Professor of Electrical
Engineering with the University of Ouargla, Algeria. In 2017, he joined the Ecole
Centrale de Nantes and the Laboratory of Digital Sciences of Nantes (LS2N), as an
Associate Professor. Dr. Hamida is the local coordinator of the European project EPiCo
on Electric Vehicles Propulsion and Control at Ecole Centrale of Nantes and
the head of the real-time systems unit in the same university. His research interests
include robust nonlinear control (higher order sliding mode, backstepping, adaptive
control, optimal control), theoretical aspects of nonlinear observer design, control
and fault diagnosis of electrical systems and renewable energy applications. His current
research interests include robust nonlinear control, theoretical aspects of nonlinear
observer design, control, and fault diagnosis of electrical systems and renewable
energy applications.

Dr. Pierluigi Siano received the M.Sc. degree in electronic engineering and the
Ph.D. degree in information and electrical engineering from the University of
Salerno, Salerno, Italy, in 2001 and 2006, respectively. He is Full Professor of Electrical
Power Systems and Scientific Director of the Smart Grids and Smart Cities
Laboratory with the Department ofManagement and Innovation Systems, University
of Salerno. Since 2021 he has been a Distinguished Visiting Professor in the Department
of Electrical and Electronic Engineering Science, University of Johannesburg.
His research activities are centered on demand response, energy management, the
integration of distributed energy resources in smart grids, electricity markets, and
planning and management of power systems. In these research fields, he has coauthored
more than 700 articles including more than 410 international journals that
received in Scopus more than 19200 citations with an H-index equal to 66. Since
2019 he has been awarded as a Highly Cited Researcher in Engineering by Web of
Science Group. He has been the Chair of the IES TC on Smart Grids. He is Editor for
the Power & Energy Society Section of IEEE Access, IEEE Transactions on Power
Systems, IEEE Transactions on Industrial Informatics, IEEE Transactions on Industrial
Electronics, and IEEE Systems.

Inhaltsangabe

Preface
Author
Chapter 1 Fault diagnosis with model-based and model-free techniques
Chapter 2 Fault diagnosis for SG-based renewable energy systems
Chapter 3 Fault diagnosis for electricity microgrids and gas processing
units
Chapter 4 Fault diagnosis for gas and steam-turbine power generation
units
Chapter 5 Fault diagnosis for wind power units and the distribution grid
References
Index