SOURCE-LINKED INTELLIGENCE

Dynamic Network Toolbox for Data-Driven Model Learning and Diagnostics

CORDIS · observation · Publication date unknown

or data is playing an increasing role as a basis for modeling, diagnostics, decision making and predictive maintenance, there are currently no standard software tools available for data analytics and machine learning where effective use is made of the physical interconnection structure of the constituting subsystems. The results of the ERC Advanced Research project Data-driven modeling in dynamic networks (2016-2022) will be translated into an effective general purpose GUI supported MATLAB-based toolbox for data analytics, including data-driven dynamic modelling and diagnostics, for the situation of spatially interconnected linear dynamic systems. The scientific methods and algorithms will be turned into into effective workflows to be used by engineers, researchers and students for applications in a variety of engineering domains. A professional software architecture and first steps of an implementation have already been realized. The project will be guided by stakeholders from industry, among which MathWorks Inc, ASML and ABB, who will also be involved in the development of use cas

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recordType

award

status

SIGNED

region

EU

value

150000

unit

EUR