The System Reliability and Industrial Safety Laboratory (SRISL) is part of the Institute of Nuclear & Radiological Sciences & Technology, Energy & Safety (in the former Institute of Nuclear Technology – Radiation Protection) of the National Centre for Scientific Research “Demokritos” (NCSR “Demokritos”).
SRISL was founded in 1988, with initial objective the development of an integrated capability for the quantitative risk assessment of large nuclear and non-nuclear systems. During the last thirty years, the laboratory has contributed to the state-of-the art of system reliability, quantified risk assessment, the development of decision support systems with multiple criteria and under uncertainty and system diagnostics. Furthermore, the laboratory has developed an integrated methodology and the associated computer tools for the safety analysis and the quantification of uncertainty in installations handling hazardous materials. The lab has also expertise on the risk assessment and management of occupational risks from nanomaterials and the development of relevant in-silico tools. In addition, the lab has coordinated the development of IoT tools for energy monitoring and energy disaggregation, and has developed advanced informatics tools for equipment fault detection.
SRISL in collaboration with other European research organizations focuses its research efforts on problems addressing the support of decisions concerning the management of risk, the land use planning around dangerous sites, the evaluation of the role of the organizational and management system of a company on the safety of the installations, the assessment and management of nanomaterial risks, and the collection, and analysis of energy load signals towards predictive maintenance.
SRISL is an active member of the European Safety and Reliability Association (ESRA). SRISL is also coordinating the Greek Technology Platform on Industrial Safety (GTPIS), together with the University of Crete and the National Technical University of Athens (NTUA).
SRISL has developed an integrated methodology for:
Quantitative Risk Assessment (QRA) of complex systems
- Reliability of Systems
- Human Reliability
- Consequence assessment
- Uncertainty Quantification
- Field of application
- Nuclear installations
- Chemical installations
- Offshore installations
- Transportation systems
- Road tunnels
- Other complex systems (e.g. KM3NeT)
Quantitative Risk Management of complex systems
- Emergency Response
- Land Use Planning
- Risk – Based Inspection
Occupational Risk Assessment and Management
Mathematical optimization / Machine learning / Deep learning for:
- Industrial process design and optimization
- Device health monitoring towards predictive maintenance
- In silico tools for safe-by-design materials, including nanomaterials
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