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FAULT-LEARNING: Artificial Intelligence-based fault diagnosis of critical infrastructure systems


Dr. Kleanthis Malialis, a Post-Doc researcher at the KIOS Research and Innovation Center of Excellence of the University of Cyprus was awarded a prestigious Marie Skłodowska Curie (MSCA) Widening Fellowship to work with Professors Marios Polycarpou and Christos Panayiotou on the project “FAULT-LEARNING”. Moreover, the Fellow will work with Professor Cesare Alippi, as the Fellowship involves a Secondment period to Polytechnic University of Milan.

The aim of this fellowship is to design and develop an online learning-based fault diagnosis engine with adaptation capabilities, that monitors and analyses in real time data arriving from critical infrastructure systems. This in turn will accurately detect a potential fault and effectively isolate and identify its exact location.

Modern society relies heavily on the availability and smooth operation of critical infrastructures, such as electrical power systems, water distribution systems, transportation systems and telecommunication networks. In such large-scale, complex engineering systems when a failure occurs due to faults, it can have severe societal, health and economic consequences. The sequential arrival of data in critical infrastructures calls for a fault diagnosis engine with adaptive behaviour to achieve and maintain optimal performance. However, the vast majority of existing work falls short on this requirement.

This project will incorporate online learning capabilities to achieve adaptability and will also address class imbalance, a major challenge for learning systems, arising from the fact that faults are low probability events.

Project’s website:

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the grant agreement No 867433 (‘FAULT-LEARNING’).