Digital twin

Digital twin for real-time monitoring and anomaly detection of complex systems
Digital twin grant

The laboratories of Prof. Nobile (SB) and Prof. Schiffmann (STI) will be hosting the 4th CIS collaboration grant. The selected postdoc candidate funded by this CIS Collaboration Grant will contribute to the CIS research pillar on digital twins. The goal of the project  is the development of a monitoring tool that detects precursors of potential failure mechanisms in complex multicomponent systems, by combining mathematical modeling with measurements from a minimum number of probes, and ultimately aims at proposing the safest set of actions to avoid failure in real time. Specifically, the monitoring tool will be constructed and experimentally validated to identify potentially dangerous operation of small-scale, gas bearing supported turbocompressors.


Associated Labs

Research at the Laboratory for Applied Mechanical Design (LAMD) is focused on the design and experimental investigation of small scale turbomachinery for decentralized energy conversion. Typical applications range from small scale gas turbines, compressors for domestic heat pumps to high speed expanders for waste heat recovery using Organic Rankine Cycles. Particular emphasis is given to the domestic and the transportation sector.

The CSQI chair, led by Prof. Fabio Nobile, deals with the development of reliable numerical simulations of complex models appearing in physics, engineering and life science applications, such as porous media flows, wave propagation phenomena, aerodynamics, fluid-structure interaction in hemodynamics, heart electromechanics, etc. In particular, the research is oriented to the development of advanced techniques for the treatment and quantification of uncertainties which unavoidably affect many of the parameters of a mathematical model, and consequently the quantification of the reliability of numerical simulations outcomes.


For more information, please contact: [email protected]