In FADOMAS, industrial data is collected and analysed to discover the transitions between the different system states. Such interconnections are normally hidden under the streams of raw data. The vision of FADOMAS is multifold. First, the project investigates the conditions under which the determination of faults can be accommodated. This step validates state-of-the-art change detection schemes for the online fault diagnosis over various system parameters. As a second step, event correlation methods are examined to unveil the internal dynamics that govern the operation of the system (e.g., nodes failure, malfunctioning, under-performing, unexpected behaviour). As a final step, a root-cause analysis methodology is applied to (i) improve the situation awareness of the administrators, (ii) provide explanations about the current status, and (iii) recommend mitigation actions such as proactive maintenance that will minimise the downtime of the machinery.
FADOMAS is currently implementing the following standards for the connection with SCADA systems and sensors:
- IEEE C37.1-2007 – IEEE Standard for SCADA and Automation Systems. This standard specifies best practices design, implementation, and long-term management ofsupervisory control and data acquisition (SCADA) systems.
- OGC Sensor Observation Service (SOS), Observation and Measurements (O&M) and SensorML. These standards define a data model for the management of sensor data values coming from the machinery.
*Expose phase is open to all Experiment phase teams
Involvement in Standardisation Bodies:
Extension and alignment of the Common Information Sharing Environment (CISE) data model with the Common Integrated Risk Analysis Model (CIRAM) to serve EU priorities in Maritime surveillance and risk analysis for border security, a field that is gaining momentum especially the countries that are the external borders of the EU (Greece, Italy, etc.).
Mr. Vassilis Papataxiarhis
CEO and a co-Founder of Intellia. He holds an MSc in Advanced Information Systems and is the Project Manager of FADOMAS.
Mr. Michael Loukeris
Co-Founder of Intellia. He holds an MSc. in Economics & Telecommunication Networks and works on the commercialisation of the FADOMAS fault diagnosis tools.
Ms. Marilena Athanassiou
Data Scientist. She will work on the implementation of fault diagnosis algorithms and root-cause analysis for manufacturing.