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Innovative Modeling Approaches for Production Systems to raise validatable efficiency

Deliverables

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

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

Framework for operator knowledge collection

Framework for operator knowledge collection

Summary of all requirements for all parts of the project

Summary of all requirements for all parts of the project

An algorithm to classify an anomaly as critical or not

An algorithm to classify an anomaly as critical or not

Evaluate the forecasting quality

Evaluate the forecasting quality

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

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

An algorithm detecting anomalies out of observation based on learned models

An algorithm detecting anomalies out of observation based on learned models

Behaviour model which is learned

Behaviour model which is learned

Learned causality model which integrates expert knowledge

Learned causality model which integrates expert knowledge

Toolbox to understand the effects of the transition from traditional to smart production. Design learning scenarios and on-the-job training formats that help users to skilfully operate the system and to modify sociotechnical arrangements

Toolbox to understand the effects of the transition from traditional to smart production. Design learning scenarios and on-the-job training formats that help users to skilfully operate the system and to modify sociotechnical arrangements

Open access summary report

Open access summary report

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

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

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

An algorithm to identifying the root cause of a fault

An algorithm to identifying the root cause of a fault

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

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

The implemented algorithms are validated on lab demonstrators

The implemented algorithms are validated on lab demonstrators

External project website

External project website

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Publications

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

Author(s): Emanuel Trunzer, Iris Kirchen, Jens Folmer, Gennadiy Koltun, Birgit Vogel-Heuser
Published in: 2017 IEEE International Conference on Industrial Technology (ICIT), Issue 22-25 March 2017, 2017, Page(s) 1106-1111
DOI: 10.1109/ICIT.2017.7915517

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

Author(s): Dorothea Pantförder, Julia Schaupp, Birgit Vogel-Heuser
Published in: HCI International 2017 – Posters' Extended Abstracts, Issue Vol. 713, 2017, Page(s) 358-365
DOI: 10.1007/978-3-319-58750-9_50

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

Author(s): Ezdin Aslanci, Kutalmis Coskun, Peter Schuller, Borahan Tumer
Published in: 2017 IEEE 15th International Conference on Industrial Informatics (INDIN), Issue 24-26 July 2017, 2017, Page(s) 787-792
DOI: 10.1109/INDIN.2017.8104873

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

Author(s): Bans Gun Surmeli, Feyza Eksen, Bilal Dinc, Peter Schuller, Borahan Tumer
Published in: 2017 IEEE 15th International Conference on Industrial Informatics (INDIN), Issue 24-26 July 2017, 2017, Page(s) 841-846
DOI: 10.1109/INDIN.2017.8104881

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

Author(s): Benedikt Eiteneuer; Oliver Niggemann
Published in: DX18 29th International Workshop on Principles of Diagnostics, Issue 1, 2018
DOI: 10.5281/zenodo.1409641

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

Author(s): Alexander von Birgelen, Oliver Niggemann
Published in: 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Issue 12-15 September 2017, 2017, Page(s) 1-8
DOI: 10.1109/ETFA.2017.8247695

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

Author(s): Claudio Santo Longo, Cesare Fantuzzi
Published in: 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 2017, Page(s) 1-8
DOI: 10.1109/ETFA.2017.8247582

Defining and validating similarity measures for industrial alarm flood analysis

Author(s): Marta Fullen, Peter Schuller, Oliver Niggemann
Published in: 2017 IEEE 15th International Conference on Industrial Informatics (INDIN), Issue 24-26 July 2017, 2017, Page(s) 781-786
DOI: 10.1109/INDIN.2017.8104872

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

Author(s): Khaled Al-Gumaei, Kornelia Schuba, Andrej Friesen, Sascha Heymann, Carsten Pieper, Florian Pethig, and Sebastian Schriegel
Published in: 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation, Issue 1536098400, 2018
DOI: 10.5281/zenodo.1446427

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

Author(s): Eray Gençay, Peter Schüller, Esra Erdem
Published in: Journal of Intelligent Manufacturing, 2017, Page(s) 1-16, ISSN 0956-5515
DOI: 10.1007/s10845-017-1333-3

IMPROVE - Innovative Modelling Approaches for Production Systems to Raise Validatable Efficiency - Intelligent Methods for the Factory of the Future

Author(s): Oliver Niggemann, Peter Schüller
Published in: Technologien für die intelligente Automation, 2018
DOI: 10.1007/978-3-662-57805-6