Abstract：

Large-Scale Systems (LSS) attract a significant and steadily growing interest in academia and industry. These
systems are characterized by a large number of states and inputs, are generally spatially distributed, and are modeled as the interaction of many subsystems coupled through physical or communication relationships. Reliability is a key requirement in systems design and the development of distributed methods for fault diagnosis is an emergent important topic. When dealing with the monitoring of LSSs, in fact, centralized architectures can be not adequate due to computational, communication, scalability and reliability limits. An alternative is offered by the adoption of decentralized and distributed approaches. Furthermore, LSSs can often have a dynamic structure that changes along the time. For this reason, a novel requirement is the design of monitoring architectures able to be robust to the changes that may happen in the dynamic structure of the LSS. In this talk, I will present a distributed model-based fault detection and isolation architecture and I will explain how to use it in Plug-and-Play scenarios for a fault-tolerant control scheme.

Bio:

Francesca Boem received the Laurea (M.Sc.) degree (cum laude) in Management Engineering in 2009 and the Ph.D. degree in Information Engineering in 2013 from the University of Trieste, Italy. She was Post-Doc at the Department of Engineering and Architecture at the University of Trieste from 2013 to 2014 with the Automation Group and with the Machine Learning Group. Since 2014, she is Research Associate at the Department of Electrical and Electronic Engineering, Imperial College London, UK, with the Control and Power Research Group. She visited the  Institute for Human-Machine Communication at the Technical University of Munich, Germany, in 2010, and the ACCESS Linnaeus Center, KTH Royal Institute of Technology, Sweden, in 2013. She cooperated with the R&D department of Danieli Automation SpA, Buttrio (UD), Italy. She has authored and co-authored several papers published in international journals and conference proceedings. Her current research interests include distributed fault diagnosis methods for large-scale networked systems and distributed estimation methods for sensor networks.