The 3rd International Conference on Applied Automation and Industrial Diagnostics, ICAAID 2019,

25-27 September 2019, Elazig, Turkey


Prof. Dr Fausto P. Garcia Marquez

ETSI Industriales, Universidad Castilla-La Mancha

Campus Universitario s/n, 13071 Ciudad Real, Spain

Tel: +34 (9)26 295300 Ext.: 6230

FAX: +34 (9)26 295361 - Ext. IBERCOM Fax: 3801

Professor Fausto works at UCLM as Full Professor (Accredited as Full Professor from 2013), Spain, Honorary Senior Research Fellow at Birmingham University, UK, Lecturer at the Postgraduate European Institute, and he has been Senior Manager in Accenture (2013-2014). He obtained his European PhD with a maximum distinction. He has been distingueed with the prices: Advancement Prize for Management Science and Engineering Management Nominated Prize (2018), First International Business Ideas Competition 2017 Award (2017); Runner (2015), Advancement (2013) and Silver (2012) by the International Society of Management Science and Engineering Management (ICMSEM); Best Paper Award in the international journal of Renewable Energy (Impact Factor 3.5) (2015).  He has published more than 150 papers (65 % ISI, 30% JCR and 92% internationals), some recognized as: “Renewable Energy” (as “Best Paper 2014”); “ICMSEM” (as “excellent”), “Int. J. of Automation and Computing” and “IMechE Part F: J. of Rail and Rapid Transit” (most downloaded), etc. He is author and editor of 25 books (Elsevier, Springer, Pearson, Mc-GrawHill, Intech, IGI, Marcombo, AlfaOmega,…), and 5 patents. He is Editor of 5 Int. Journals, Committee Member more than 40 Int. Conferences. He has been Principal Investigator in 4 European Projects, 5 National Projects, and more than 150 projects for Universities, Companies, etc. His main interest are: Maintenance Management, Renewable Energy, Transport, Advanced Analytics, Data Science. He is Director of Ingenium. URL:

SCADA data analytics for fault detection and diagnosis of wind turbines

Wind turbines are increasing in number, size and market share. It is determined whether they are efficient through operating and maintenance costs. Therefore, one of the main objectives of the wind turbines is to increase the service life of the components by applying different methodologies for fault detection. The gearbox is a critical component since it causes the most downtime and failure rate of the wind turbines. The Supervisory Control and Data Acquisition system offers the measurement of several variables, and by a correct analysis it is possible to detect the faults before they occur. This paper analyses the temperature curve of bearing versus wind speed as significant variables of a gearbox failure for fault detection.

Prof. Dr. Kamal Mohammedi

MESO/URMPE, M Bougara University, Boumerdès, Algeria

Head of MESO/URMPE, Research Unit, Modelling, Simulation and Optimization of Alternative and Sustainable Systems

Pr Kamal MOHAMMEDI is a Senior Lecturer of Applied Numerical Methods, Multiphase Flows, Solar Thermal Energy and Renewable Energy, since 1993, at M. Bougara University, Boumerdès/ Algeria, Department of Mechanical Engineering. He received his M Sc. degree in Mechanical Engineering from Boumerdès National Institute of Mechanical Engineering (INGM) Algeria, in 1985 and his Diplôme d’Etudes Approfondies and PhD degrees in Process Engineering from the INSA de Lyon, France, in 1992. Head of the Modelling Simulation and Optimization of Alternative and Sustainable Systems (MESOnexTeam), he has been involved in 2 FP6 European projects and 10 national projects in the fields of hybrid renewable energy systems, Renewable Energy Desalination, CSP, Sustainable Industrial parks, Carbone Dioxide mitigation in cement industry, Energy Efficiency, etc. . He is the author and co-author of more than 40 published papers; book chapters and 100 conference articles in the fields of Concentrated Solar Power, Hybrid Renewable Energy Systems, and multiphase flows interface tracking. He is a member of scientific committees and a reviewer of national and International journals. He is a member of advisory boards of national and international conferences where he chaired sessions. He supervised Master/Engineer/Magister and PhD theses and consults for industry.

Transition to a Sustainable Low Carbon  Super Smart Society

Climate change mitigation and development of innovative and connected solutions are important issues for human transition to sustainable low carbone super smart society or decarbonised Society 5.0 .  In this way, 2030 united Nations Agenda integrating 17 Sustainable Development Goals (SDGs) and Technologies based on Internet of Things (IOT), artificial intelligence (AI), Big Data, etc… will help reach a society based on low carbon power sources with less greenhouse gases (GHG) e.g. mainly carbon dioxide (CO2). Shifting to low-carbon society on a global scale could bring substantial benefits both for developed and developing countries. Many countries around the world are designing and implementing low emission development strategies (LEDS). These strategies seek to achieve social, economic and environmental development goals while reducing long-term greenhouse gas emissions and increasing resilience to climate change impacts.

Globally implemented low-carbon technologies are therefore means to avoid catastrophic climate change, and as a precursor to the more advanced, zero-carbon smart society. Prof.Dr Zoran Bojkovic


Full Professor of Electrical Engineering

University of Belgrade,Serbia

Engineering Academy of Serbia, IAS , Belgrade

Serbian Scientific Society, Belgrade

Tel: + 381 11 2605 045

Prof.Dr Zoran Bojkovic has published extensively in his research fields of multimedia communication systems, network planning, control ,design,wireless communication management, surveillance and maintenance in peer-reviewed journals, books (Prentice Hall, Wiley, CRC Press, WSEAS Press), chapters in the books (Springer,CRC Press, Mc Grow Hill), conference proceedings. His list of publications include more than 450 items, with 80 seminars, invited keynote/plenary lectures, workshops and tutorials.Prof.Zoran Bojkovic has participated in many international / national projects (COST, WUS., NURI ). He was the General Chair for the VISION NET'15 Kerala,India, and VISION NET'16 Jaipur, India, Program Chair for MSDF'17 Guangzhou, China. Prof.Bojkovic has served and still serves as Editor-in-Chief and Associate Editor in many prominent journals (WSEAS,NAUN.IRIS), reviewer in international journals, keynote speaker ,special session organizer in many international conferences all over the world, and a member of scientific and TPC committees,


To address the challenges such as increasing electricity demand, aging grid infrastructure, significant uptake of electrical vehicles, it is of huge importance to integrate modern communications control and computing technology into the effective grid for building an autonomous smart grid (SG). To enable this task, a scalable and feasible communication framework is needed. Also, one big challenge in building a SG arises from the first growing amount of data and limited communication resources. Starting from this point of view, SG is defined as a power grid that uses information and communications technologies to gather and act on information for improving the efficiency, reliability, economics and generation sustainability, transmission and distribution of electricity. Data plays an important role in SG, such as metering data, renewable energy data , customer data, energy storage data, and control data. On the operational side, equipment failures can be managed and thus power system reliability and market flexibility are significantly improved. On the consumer side, both the user experience and billing system are enhanced. The 5G communication networks will facilitate the distributed information acquisition, processing at the same time service requirements in wide area monitoring system (WAMS) to detect power grid disturbances in real time.

5G communication networks facilitates the provision of the distribution information acquisition as well as processing services required for WAMS. As for information acquisition, the introduction of massive machine type communication (mMTC) services allows for a large scale of deployment. For measuring devices, low latency and high reliability are required resorting to ultra-reliable low latency communication (uLLC) services. As the 5G performance strongly depends on reliable successful and timely end-to-end menage delivery, the role of it in energy distribution is presented. Then, mobile edge computing together with mobile cloud is described. Computer radio-based smart grid system is included, too. In the second part of this presentation, the focus is on the influence of 5G cellular networks on the development and trends in modern smart grid systems.

Keywords: Smart grid, 5G, Mobile edge computing, Mobile cloud, Cognitive radio, Distributed serv





Fırat Üniversitesi

University of Firat, Elazig, Turkey

University of Djelfa, Algeria

Applied Automation and Industrial

Diagnostics Laboratory, 

University of Djelfa, Algeria

Gas Turbine Joint Research Team

University of Djelfa

Djelfa, Algeria