Dynamic Network Toolbox for Data-Driven Model Learning and Diagnostics

Develop a MATLAB-based toolbox for data-driven modeling and diagnostics of interconnected dynamic systems, enhancing operational efficiency and safety across various engineering domains.

Subsidie
€ 150.000
2024

Projectdetails

Introduction

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 in distributed (smart) power systems, industrial production processes, transportation networks, biomedical systems, etc.

Importance of Up-to-Date Models

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.

Role of Sensor Data

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.

Project Overview

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. This toolbox will include:

  1. Data-driven dynamic modeling
  2. Diagnostics for spatially interconnected linear dynamic systems

Development and Implementation

The scientific methods and algorithms will be turned 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.

Stakeholder Involvement

The project will be guided by stakeholders from industry, including:

  • MathWorks Inc
  • ASML
  • ABB

These stakeholders will also be involved in the development of use cases.

Ongoing Research

Parallel to this project, research into effective methods will continue, allowing the team to overcome shortcomings in the current tools that might appear.

Future Plans

A further plan for the exploitation of the toolbox will be made by the end of the project and will be dependent on the proof-of-concept evaluation.

Financiële details & Tijdlijn

Financiële details

Subsidiebedrag€ 150.000
Totale projectbegroting€ 150.000

Tijdlijn

Startdatum1-4-2024
Einddatum30-9-2025
Subsidiejaar2024

Partners & Locaties

Projectpartners

  • TECHNISCHE UNIVERSITEIT EINDHOVENpenvoerder

Land(en)

Netherlands

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