Intelligent Fault Diagnosis in Big Data Environments

 

Modern societies have reached a point where everyday life relies heavily on the reliable operation and intelligent management of critical infrastructures, such as electric power systems, telecommunication networks, water systems, and transportation systems. The design, control and fault monitoring of such systems is becoming increasingly more challenging as their size, complexity and interactions are steadily growing. The current trend is towards the use of a larger number of sensors, leading to so called big data environments. However, in situations where faults arise in one or more of the sensing devices, this may lead to a serious degradation in performance or even to an overall system failure, especially as a result of propagating faults in interconnected subsystems. The goal of this presentation is to motivate the need for intelligent monitoring, fault diagnosis and security of critical infrastructure systems, and to discuss a methodology for detecting and isolating faults in a class of nonlinear dynamical systems.

 

ABOUT THE SPEAKER:

Marios M. Polycarpou is a Professor of Electrical and Computer Engineering and the Director of the KIOS Research and Innovation  Center of Excellence at the University of Cyprus. He received the B.A. degree in Computer Science and the B.Sc. degree in Electrical Engineering, both from Rice University, USA in 1987, and the M.S. and Ph.D. degrees in Electrical Engineering from the University of Southern California, in 1989 and 1992 respectively. His teaching and research interests are in intelligent systems and networks, adaptive and cooperative control systems, computational intelligence, fault diagnosis and distributed agents. Dr. Polycarpou has published more than 300 articles in refereed journals, edited books and refereed conference proceedings, and co-authored 7 books. He is also the holder of 6 patents.

Prof. Polycarpou is a Fellow of IEEE and IFAC, and past IEEE Distinguished Lecturer of Computational Intelligence. He is the recipient of the 2016 IEEE Neural Networks Pioneer Award and the 2014 Best Paper Award for the journal Building and Environment (Elsevier). He has served as the President of the IEEE Computational Intelligence Society (2012-2013), and as the Editor-in-Chief of the IEEE Transactions on Neural Networks and Learning Systems (2004-2010). He is currently the Vice President of the European Control Association (EUCA). Prof. Polycarpou has participated in more than 60 research projects/grants, funded by several agencies and industry in Europe and the United States, including the prestigious European Research Council (ERC) Advanced Grant.

Contact: This email address is being protected from spambots. You need JavaScript enabled to view it.