EFFRA Innovation Portal

Report on contribution to standards for modular laser-based additive manufacturing

Project: MAESTRO

Updated at: 29-04-2024

Open access summary report

Project: IMPROVE

Updated at: 29-04-2024

An algorithm to identifying the root cause of a fault

Project: IMPROVE

Updated at: 29-04-2024

Learned causality model which integrates expert knowledge

Project: IMPROVE

Updated at: 29-04-2024

The implemented algorithms are validated on lab demonstrators

Project: IMPROVE

Updated at: 29-04-2024

Behaviour model which is learned

Project: IMPROVE

Updated at: 29-04-2024

Evaluate the results of the pilot runs of three demonstrators and the numerical benefit

Project: IMPROVE

Updated at: 29-04-2024

An intelligent optimization algorithm which is able to find the efficient configuration of the factory

Project: IMPROVE

Updated at: 29-04-2024

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

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

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

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

Framework for operator knowledge collection

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

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

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

An algorithm to classify an anomaly as critical or not

Project: IMPROVE

Updated at: 29-04-2024

Evaluate the forecasting quality

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

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

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

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

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

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

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

1st Data collection from real-world resources

Project: C2NET

Updated at: 29-04-2024

Resources

Selected filters:

Report on contribution to standards for modular laser-based additive manufacturing

Open access summary report

An algorithm to identifying the root cause of a fault

Learned causality model which integrates expert knowledge

The implemented algorithms are validated on lab demonstrators

Behaviour model which is learned

Evaluate the results of the pilot runs of three demonstrators and the numerical benefit

An intelligent optimization algorithm which is able to find the efficient configuration of the factory

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

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

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

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

Framework for operator knowledge collection

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

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

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

An algorithm to classify an anomaly as critical or not

Evaluate the forecasting quality

Summary of all requirements for all parts of the project

An algorithm detecting anomalies out of observation based on learned models

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

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

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

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

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

1st C2NET dissemination activities

Industrial scenarios addressed by C2NET Platform

1st Data collection from real-world resources