Dynamic Network Toolbox for Data-Driven Model Learning and Diagnostics

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 that effectively utilize 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

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.

Development and Stakeholder Involvement

A professional software architecture and the first steps of an implementation have already been realized. 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.

Future Research and Exploitation Plan

Parallel to this project, research into effective methods will continue, allowing for the overcoming of shortcomings in the current tools that might appear. A further plan for the exploitation of the toolbox will be made by the end of the project and will depend on the proof-of-concept evaluation.