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Innovative Modeling Approaches for Production Systems to raise validatable efficiency

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Publicaciones

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

Autores: Emanuel Trunzer, Iris Kirchen, Jens Folmer, Gennadiy Koltun, Birgit Vogel-Heuser
Publicado en: 2017 IEEE International Conference on Industrial Technology (ICIT), Edición 22-25 March 2017, 2017, Página(s) 1106-1111, ISBN 978-1-5090-5320-9
Editor: IEEE
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

Autores: Dorothea Pantförder, Julia Schaupp, Birgit Vogel-Heuser
Publicado en: HCI International 2017 – Posters' Extended Abstracts, Edición Vol. 713, 2017, Página(s) 358-365, ISBN 978-3-319-58749-3
Editor: Springer International Publishing
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

Autores: Ezdin Aslanci, Kutalmis Coskun, Peter Schuller, Borahan Tumer
Publicado en: 2017 IEEE 15th International Conference on Industrial Informatics (INDIN), Edición 24-26 July 2017, 2017, Página(s) 787-792, ISBN 978-1-5386-0837-1
Editor: IEEE
DOI: 10.1109/INDIN.2017.8104873

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

Autores: Bans Gun Surmeli, Feyza Eksen, Bilal Dinc, Peter Schuller, Borahan Tumer
Publicado en: 2017 IEEE 15th International Conference on Industrial Informatics (INDIN), Edición 24-26 July 2017, 2017, Página(s) 841-846, ISBN 978-1-5386-0837-1
Editor: IEEE
DOI: 10.1109/INDIN.2017.8104881

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

Autores: Benedikt Eiteneuer; Oliver Niggemann
Publicado en: DX18 29th International Workshop on Principles of Diagnostics, Edición 1, 2018
Editor: DX
DOI: 10.5281/zenodo.1409641

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

Autores: Alexander von Birgelen, Oliver Niggemann
Publicado en: 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Edición 12-15 September 2017, 2017, Página(s) 1-8, ISBN 978-1-5090-6505-9
Editor: IEEE
DOI: 10.1109/ETFA.2017.8247695

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

Autores: Claudio Santo Longo, Cesare Fantuzzi
Publicado en: 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 2017, Página(s) 1-8, ISBN 978-1-5090-6505-9
Editor: IEEE
DOI: 10.1109/ETFA.2017.8247582

Defining and validating similarity measures for industrial alarm flood analysis

Autores: Marta Fullen, Peter Schuller, Oliver Niggemann
Publicado en: 2017 IEEE 15th International Conference on Industrial Informatics (INDIN), Edición 24-26 July 2017, 2017, Página(s) 781-786, ISBN 978-1-5386-0837-1
Editor: IEEE
DOI: 10.1109/INDIN.2017.8104872

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

Autores: Khaled Al-Gumaei, Kornelia Schuba, Andrej Friesen, Sascha Heymann, Carsten Pieper, Florian Pethig, and Sebastian Schriegel
Publicado en: 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation, Edición 1536098400, 2018
Editor: IEEE
DOI: 10.5281/zenodo.1446427

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

Autores: Eray Gençay, Peter Schüller, Esra Erdem
Publicado en: Journal of Intelligent Manufacturing, 2017, Página(s) 1-16, ISSN 0956-5515
Editor: Kluwer Academic Publishers
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

Autores: Oliver Niggemann, Peter Schüller
Publicado en: Technologien für die intelligente Automation, 2018, ISBN 978-3-662-57805-6
Editor: Springer Berlin Heidelberg
DOI: 10.1007/978-3-662-57805-6

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