Skip to main content
Go to the home page of the European Commission (opens in new window)
English en
CORDIS - EU research results
CORDIS

Dynamic Network Toolbox for Data-Driven Model Learning and Diagnostics

Project description

Innovative toolbox for data analytics of dynamic systems

Complex engineering systems, including power systems, production processes, transportation networks and biomedical systems, necessitate the capability to model, monitor, optimise and control interconnected dynamic subsystems. Accurate models and current data are indispensable for ensuring safe, efficient and robust operations. However, existing standard software lacks the effectiveness needed for data analytics and machine learning that leverages the physical interconnection structure of subsystems. In this context, the ERC-funded SysDyNetTool project aims to develop a MATLAB-based toolbox for data analytics of spatially interconnected dynamic systems. This toolbox will offer valuable assistance to engineers, researchers and students and will be guided by input from industry stakeholders. The project will persist in researching and refining methods to enhance existing tools.

Objective

Increasing demands on the safe and efficient operation of engineering systems require the ability to model, monitor, optimize and control complex dynamic systems that are spatially interconnected as networks of dynamic subsystems. Examples can be found e.g. in distributed (smart) power systems, industrial production processes, transportation networks, biomedical systems, etcetera.
Operational decisions are being made on the basis of models and data, while keeping the network models up-to-date over time is key for the ability to guarantee safe, efficient and robust operation. While sensor 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 cases. Parallel to this project, the research into effective methods will continue, allowing to overcome shortcomings in the current tools that might appear. A further plan for exploitation of the toolbox will be made by the end of the project, and will be dependent on the proof-of-concept evaluation.

Fields of science (EuroSciVoc)

Keywords

Programme(s)

Topic(s)

Funding Scheme

HORIZON-ERC-POC - HORIZON ERC Proof of Concept Grants

See all projects funded under this funding scheme

Call for proposal

(opens in new window) ERC-2023-POC

See all projects funded under this call

Host institution

TECHNISCHE UNIVERSITEIT EINDHOVEN
Net EU contribution
€ 150 000,00
Address
GROENE LOPER 3
5612 AE Eindhoven
Netherlands
Region
Zuid-Nederland Noord-Brabant Zuidoost-Noord-Brabant
Activity type
Higher or Secondary Education Establishments
Links
Total cost
No data

Beneficiaries (1)