Components and systems for electrical/thermal power generation, distribution and transmission are equipped with sensing capabilities,
which provide data that is informative on their operative performance and status. These data and other information (e.g. maintenance reports. inspection images, etc.) can be analyzed by artificial intelligence (AI) algorithms and tools to extract information useful for operating the components and systems in an efficient, reliable,safe and sustainable way.
The goal of this course is to provide the participants with methodological competencies, analytical skills, and practical knowledge on the existing algorithms and available computational tools of AI for system modelling analysis and simulation, virtual sensing, component health management, forecasting, control, and remote auditing, reliability analysis and risk assessment management, multi-objective and multi-level optimization, and
decision support systems.
ORGANIZERS
Department of Energy – Politecnico di Milano
Laboratory of Analysis of Systems for the Assessment of Reliability, Risk and Resilience (LASAR3)
Data Analytics and Optimization (DataOptimaLab)
SPONSOR
ESRA (European Safety and Reliability Association)
SUPPORT
IEEE – Reliability Society, Italian Chapter, Italy
MINES ParisTech, PSL Research University, CRC, Sophia Antipolis, France