EFFRA Innovation Portal

IMPROVE - Innovative Modelling Approaches for Production Systems to Raise Validatable Efficiency - Intelligent Methods f...

Project: IMPROVE

Updated at: 29-04-2024

LSTM for Model-Based Anomaly Detection in Cyber-Physical Systems

Project: IMPROVE

Updated at: 29-04-2024

Using self-organizing maps to learn hybrid timed automata in absence of discrete events

Project: IMPROVE

Updated at: 29-04-2024

Defining and validating similarity measures for industrial alarm flood analysis

Project: IMPROVE

Updated at: 29-04-2024

Simulation and optimisation of production lines in the framework of the IMPROVE project

Project: IMPROVE

Updated at: 29-04-2024

A Survey of Internet of Things and Big Data Integrated Solutions for Industrie 4.0

Project: IMPROVE

Updated at: 29-04-2024

Transfer the implementation from the lab demonstrators to three prototypes in different industries

Project: IMPROVE

Updated at: 29-04-2024

Framework for operator knowledge collection

Project: IMPROVE

Updated at: 29-04-2024

An algorithm to classify an anomaly as critical or not

Project: IMPROVE

Updated at: 29-04-2024

Summary of all requirements for all parts of the project

Project: IMPROVE

Updated at: 29-04-2024

An algorithm detecting anomalies out of observation based on learned models

Project: IMPROVE

Updated at: 29-04-2024

Report on the overall architecture which ensures the collaboration of all WPs

Project: IMPROVE

Updated at: 29-04-2024

Quality based HMI, which supports decision making in problematic production scenarios

Project: IMPROVE

Updated at: 29-04-2024

Evaluate the forecasting quality

Project: IMPROVE

Updated at: 29-04-2024

A flexible architecture for data mining from heterogeneous data sources in automated production systems

Project: IMPROVE

Updated at: 29-04-2024

Applications of non-monotonic reasoning to automotive product configuration using answer set programming

Project: IMPROVE

Updated at: 29-04-2024

Making Implicit Knowledge Explicit – Acquisition of Plant Staff’s Mental Models as a Basis for Developing a Decision...

Project: IMPROVE

Updated at: 29-04-2024

Unsupervised mode detection in cyber-physical systems using variable order Markov models

Project: IMPROVE

Updated at: 29-04-2024

Detection of regime switching points in non-stationary sequences using stochastic learning based weak estimation method

Project: IMPROVE

Updated at: 29-04-2024

1st C2NET dissemination activities

Project: C2NET

Updated at: 29-04-2024

Industrial scenarios addressed by C2NET Platform

Project: C2NET

Updated at: 29-04-2024

C2NET Platform validation scenarios

Project: C2NET

Updated at: 29-04-2024

1st Data collection from real-world resources

Project: C2NET

Updated at: 29-04-2024

2nd Modular architecture and tools for interoperability

Project: C2NET

Updated at: 29-04-2024

1st Socio-economic impact assessment

Project: C2NET

Updated at: 29-04-2024

Selected legacy systems / interfaces that will be supported by the interoperability framework

Project: C2NET

Updated at: 29-04-2024

2nd C2NET Dissemination and Exploitation Strategy and Plan

Project: C2NET

Updated at: 29-04-2024

An architecture to support responsive production in manufacturing companies

Project: C2NET

Updated at: 29-04-2024

Case-based support to sustainable Interoperability and decision in Enterprise Networks

Project: C2NET

Updated at: 29-04-2024

A Model-Driven Adaptive Approach for IoT Security

Project: C2NET

Updated at: 29-04-2024

Resources

Selected filters:

IMPROVE - Innovative Modelling Approaches for Production Systems to Raise Validatable Efficiency - Intelligent Methods f...

LSTM for Model-Based Anomaly Detection in Cyber-Physical Systems

Using self-organizing maps to learn hybrid timed automata in absence of discrete events

Defining and validating similarity measures for industrial alarm flood analysis

Simulation and optimisation of production lines in the framework of the IMPROVE project

A Survey of Internet of Things and Big Data Integrated Solutions for Industrie 4.0

Transfer the implementation from the lab demonstrators to three prototypes in different industries

Framework for operator knowledge collection

An algorithm to classify an anomaly as critical or not

Summary of all requirements for all parts of the project

An algorithm detecting anomalies out of observation based on learned models

Report on the overall architecture which ensures the collaboration of all WPs

Quality based HMI, which supports decision making in problematic production scenarios

Evaluate the forecasting quality

A flexible architecture for data mining from heterogeneous data sources in automated production systems

Applications of non-monotonic reasoning to automotive product configuration using answer set programming

Making Implicit Knowledge Explicit – Acquisition of Plant Staff’s Mental Models as a Basis for Developing a Decision...

Unsupervised mode detection in cyber-physical systems using variable order Markov models

Detection of regime switching points in non-stationary sequences using stochastic learning based weak estimation method

1st C2NET dissemination activities

Industrial scenarios addressed by C2NET Platform

C2NET Platform validation scenarios

1st Data collection from real-world resources

2nd Modular architecture and tools for interoperability

1st Socio-economic impact assessment

Selected legacy systems / interfaces that will be supported by the interoperability framework

2nd C2NET Dissemination and Exploitation Strategy and Plan

An architecture to support responsive production in manufacturing companies

Case-based support to sustainable Interoperability and decision in Enterprise Networks

A Model-Driven Adaptive Approach for IoT Security