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COGNITIVE PLATFORM TO ENHANCE 360º PERFORMANCE AND SUSTAINABILITY OF THE EUROPEAN PROCESS INDUSTRY

Leistungen

Dissemination and Communication Plan

Dissemination and Communication Plan Developed by STAM with contributions from the whole consortium, this document will describe the means and objectives of the COGNIPLANT dissemination.

Learning material: Technical Specifications, methodologies and best practices.

Learning material: Technical Specifications, methodologies and best practices. Developed by STAM with strong contributions from the whole consortium, this deliverable will be built and developed as a training manual in order to be used during the training sessions; the contents will be formatted to provide learning services after the project to ensure the novel process deployment and maximise the project impact

Life Cycle Impact Assessment (LCIA).

Life Cycle Impact Assessment (LCIA). Report the results of the actual LCAs performed on each demonstrator. The outcomes of the analyses will be reported according to the guidelines described in ISO 14040, measuring the impacts listed in the relevant standard. A comparison between the impacts of all case studies (in baseline vs. COGNIPLANT configuration) will be performed, to highlight the main source of environmental impact within each life cycle, and possible future ways of improvement will be proposed.

Final Report on Dissemination Communication Activities

Final Report on Dissemination Communication Activities Developed by STAM with contributions from the whole consortium this deliverable will collect and describe all the dissemination activities performed in the last six months of the project as well as collect all the COGNIPLANT training sessions minutes and relevant contents

2nd Report on Dissemination Communication Activities for 2nd period

2nd Report on Dissemination Communication Activities for 2nd periodDeveloped by STAM with contributions from the whole consortium this deliverable will collect and describe all the dissemination activities performed in the second period of the project

1st Report on Dissemination Communication Activities for 1st period

1st Report on Dissemination Communication Activities for 1st period Developed by STAM with contributions from the whole consortium this deliverable will collect and describe all the dissemination activities performed in the first 18 months of the project

Baseline and COGNIPLANT demonstrators Life Cycle Inventory (LCI)

Baseline and COGNIPLANT demonstrators Life Cycle Inventory (LCI) Collect and report all the information required to perform a LCA about the state of the art demonstrators and the upgraded plants where COGNIPLANT solutions are deployed. For each reference unit, both background data will be collected, from LCI databases available in literature, and foreground data, specific of each demonstrator. LCI data are collected according to the boundaries of the analysis that are set. D5.4 also provides a description of the life cycle model developed for each of the case studies.

Final progress report
Branding, website and social media channels

Branding, website and social media channels Developed by STAM with contributions from the whole consortium, this document will describe the development of the logo, the development of the website, the planning for the website and social channels’ update, as well as deliverable and presentation’ templates, tentative project poster and leaflet and a timeline of the envisaged project dissemination activities.

Veröffentlichungen

Filter-Based Feature Selection Methods for Industrial Sensor Data: A Review

Autoren: Sabrina Luftensteiner, Michael Mayr, Georgios Chasparis
Veröffentlicht in: International Conference on Big Data Analytics and Knowledge Discovery, Ausgabe Computer Science vol 12925., 2021, Seite(n) pp 242–249, ISBN 978-3-030-86534-4
Herausgeber: DaWaK 2021
DOI: 10.1007/978-3-030-86534-4_23

Generalized Input-Output Hidden-Markov-Models for Supervising Industrial Processes

Autoren: Georgios Chasparis, Sabrina Luftensteiner, Michael Mayr
Veröffentlicht in: 3rd International Conference on Industry 4.0 and Smart Manufacturing, 2022, Ausgabe """Procedia Computer Science Volume 200, 2022""", 2022, Seite(n) Pages 1402-1411, ISSN 1877-0509
Herausgeber: Elsevier
DOI: 10.1016/j.procs.2022.01.341

Automated Cross Channel Temperature Predictions for the PFR Lime Kiln Operating Support

Autoren: A. V. Kychkin, G. C. Chasparis and S. Ellero
Veröffentlicht in: 31st Mediterranean Conference on Control and Automation (MED), 2023, Seite(n) 960-966, ISBN 979-8-3503-1543-1
Herausgeber: IEEE
DOI: 10.1109/med59994.2023.10185790

Abstracting Process Mining Event Logs From Process-State Data To Monitor Control-Flow Of Industrial Manufacturing Processes

Autoren: Michael Mayr, Sabrina Luftensteiner, Georgios Chasparis
Veröffentlicht in: 3rd International Conference on Industry 4.0 and Smart Manufacturing, 2021, Ausgabe """Procedia Computer Science Volume 200, 2022""", 2022, Seite(n) Pages 1442-1450, ISSN 1877-0509
Herausgeber: Elsevier
DOI: 10.1016/j.procs.2022.01.345

Automation of Experimental Modal Analysis Using Bayesian Optimization

Autoren: Johannes Ellinger; Leopold Beck; Maximilian Benker; Roman Hartl; Michael F. Zaeh
Veröffentlicht in: Applied Sciences; Volume 13; Ausgabe 2; Pages: 949, Ausgabe 1, 2022, ISSN 2076-3417
Herausgeber: MDPI
DOI: 10.3390/app13020949

Damping in ram based vertical lathes and portal machines

Autoren: A. Astarloa, T. Semm, I. Mancisidor, M.H. Fernandes, J. Ellinger, Z. Dombovari, J. Munoa
Veröffentlicht in: CIRP Annuals, Ausgabe Manufacturing technology 2022, 2022, ISSN 0007-8506
Herausgeber: Hallwag AG
DOI: 10.1016/j.cirp.2022.04.039

A Versatile Usable Big Data Infrastructure for Process Industry

Autoren: Sabrina Luftensteiner, Michael Mayr, Georgios Chasparis, Mario Pichler
Veröffentlicht in: Frontiers in Chemical Engineering, Computational Methods in Chemical Engineering, Ausgabe June 2021 | Volume 3 | Article, 2021, Seite(n) on-line, ISSN 0007-8506
Herausgeber: Hallwag AG
DOI: 10.3389/fceng.2021.665545

Data Preprocessing and Expert Knowledge Integration for Feature Selection in Process Industry

Autoren: Luftensteiner, Sabrina and Chasparis, Georgios C. and Kung, Josef
Veröffentlicht in: Information Systems eJournal, 2023, ISSN 2581-6942
Herausgeber: Elsevier
DOI: 10.2139/ssrn.4552873

Gathering Expert Knowledge in Process Industry

Autoren: Sabrina Luftensteiner, Georgios C. Chasparis, Michael Mayr
Veröffentlicht in: Procedia Computer Science, Ausgabe Volume 217, 2023, 2023, Seite(n) Pages 960-968, ISSN 1877-0509
Herausgeber: sciencedirect.com
DOI: 10.1016/j.procs.2022.12.293

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