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CORDIS - Résultats de la recherche de l’UE
CORDIS

Predictive Cognitive Maintenance Decision Support System

Livrables

Open data management plan

Open data management plan, updated throughout the project, whenever important changes to the project occur due to inclusion of new data sets, changes in consortium policies or external factors.

Open data repository report
Model implementation report (I)

Model implementation report (D3.3)

Dissemination report

Dissemination reports (M12, M24) will also be provided for internal follow up as CO, not as official deliverables. Final dissemination report (official deliverable) is due M36.

Standardization and interoperability report
LCC: screening test report
IPR registry
Model implementation report (II)

Model implementation report (D3.3)

LCA: system boundaries and functional unit test definition
Knowledge based and cloud deployment report
Scheduling algorithm validation report (I)

Scheduling algorithm validation report v1

Embedded sensor requirements specifications
Ecosystem report

Report on ecosystem around the project technologies within the target industries (and beyond.

AR/PLIV requirement specifications
AR & PLIV evaluation report
Target parameter selection report
LCA: screening test report
Safety Monitoring Report
LCC: system boundaries and functional unit test definition
Scheduling model report (I)

Scheduling model report

Project Quality Handbook

Establishment of project management procedures is the very first action in WP1 - Project management. The Project Quality Handbook gives a practical guidance to coordinator, coordinating bodies and project partners for project management and administration.

System QA and test report (I) and Documentation (II)

System QA and test report (D6.5.1) and Documentation (D6.5.2)

Publications

Time Series Analysis Application on Industry 4.0: PreCoM Project

Auteurs: Vaamonde-Rivas, Manuel; Febrero-Bande, Manuel; Pateiro-López, Beatriz
Publié dans: Journal of Quality in Manufacturing Engineering, 2021
Éditeur: Journal of Quality in Manufacturing Engineering
DOI: 10.5281/zenodo.4556819

Software module based on lifetime analysis for a predictive maintenance decision-support system

Auteurs: Vaamonde-Rivas, Manuel; Monsalve-Cobis, Abelardo; Pardo-Fernández, Juan Carlos; de Uña-Álvarez, Jacobo
Publié dans: Journal of Quality in Manufacturing Engineering, 2021
Éditeur: Journal of Quality in Manufacturing Engineering
DOI: 10.5281/zenodo.4557168

Estimating remaining useful life of machine tool ball screws via probabilistic classification

Auteurs: Maximilian Benker, Robin Kleinwort, Michael F. Zah
Publié dans: 2019 IEEE International Conference on Prognostics and Health Management (ICPHM), 2019, Page(s) 1-7, ISBN 978-1-5386-8357-6
Éditeur: IEEE International Conference on Prognostics and Health Management 2019
DOI: 10.1109/icphm.2019.8819445

Industrial Augmented Reality: 3D-Content Editor for Augmented Reality Maintenance Worker Support System

Auteurs: Mario Lorenz, Sebastian Knopp, Jisu Kim, Philipp Klimant
Publié dans: 2020 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), 2020, Page(s) 203-205, ISBN 978-1-7281-7675-8
Éditeur: IEEE
DOI: 10.1109/ismar-adjunct51615.2020.00060

Formulation and Solution for the Predictive Maintenance Integrated Job Shop Scheduling Problem

Auteurs: Simon Zhai, Alexander Riess, Gunther Reinhart
Publié dans: 2019 IEEE International Conference on Prognostics and Health Management (ICPHM), 2019, Page(s) 1-8, ISBN 978-1-5386-8357-6
Éditeur: IEEE International Conference on Prognostics and Health Management 2019
DOI: 10.1109/icphm.2019.8819397

Smart Maintenance Model using Cyber Physical System

Auteurs: Al-Najjar, Basim; Algabroun, Hatem; Jonsson, Mikael
Publié dans: "Conference on ""Role of Industrial Engineering in Industry 4.0 Paradigm"" (ICIEIND)", Numéro 27-30/09/2018, 2018, Page(s) 1-6
Éditeur: ICIEIND

Industrial Augmented Reality: Requirements for an Augmented Reality Maintenance Worker Support System

Auteurs: Mario Lorenz, Sebastian Knopp, Philipp Klimant
Publié dans: 2018 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), 2018, Page(s) 151-153, ISBN 978-1-5386-7592-2
Éditeur: IEEE
DOI: 10.1109/ismar-adjunct.2018.00055

Industrial Augmented Reality: Concepts and User Interface Designs for Augmented Reality Maintenance Worker Support Systems

Auteurs: Jisu Kim, Mario Lorenz, Sebastian Knopp, Philipp Klimant
Publié dans: 2020 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), 2020, Page(s) 67-69, ISBN 978-1-7281-7675-8
Éditeur: IEEE
DOI: 10.1109/ismar-adjunct51615.2020.00032

On the development of a new digitalised maintenance approach for factories of the future

Auteurs: Hatem Algabroun
Publié dans: 2020, ISBN 978-91-89081-94-9
Éditeur: Linnaeus University Press

Utilizing uncertainty information in remaining useful life estimation via Bayesian neural networks and Hamiltonian Monte Carlo

Auteurs: Maximilian Benker, Lukas Furtner, Thomas Semm, Michael F. Zaeh
Publié dans: Journal of Manufacturing Systems, 2020, ISSN 0278-6125
Éditeur: Elsevier BV
DOI: 10.1016/j.jmsy.2020.11.005

A framework for the integration of digitalised maintenance systems with relevant working areas: A case study

Auteurs: Hatem Algabroun, Basim Al-Najjar, Mikael Jonsson
Publié dans: IFAC-PapersOnLine, Numéro 53/3, 2020, Page(s) 185-190, ISSN 2405-8963
Éditeur: Elsevier
DOI: 10.1016/j.ifacol.2020.11.030

Zustandsüberwachung von Vorschubantrieben mithilfe eingebetteter Sensoren

Auteurs: Johannes Ellinger, Maximilian Benker, James Rowe, Robin Kleinwort, Michael F. Zäh, Sebastian Unsleber
Publié dans: ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb, Numéro 114/3, 2019, Page(s) 115-118, ISSN 0947-0085
Éditeur: Carl Hanser Verlag GmbH & Co.
DOI: 10.3139/104.112046

Predictive Maintenance als Wegbereiter für die instandhaltungsgerechte Produktionssteuerung

Auteurs: Simon Zhai, Gunther Reinhart
Publié dans: ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb, Numéro 113/5, 2018, Page(s) 298-301, ISSN 0947-0085
Éditeur: Carl Hanser Verlag GmbH & Co.
DOI: 10.3139/104.111912

Dynamic sampling rate algorithm (DSRA) implemented in self-adaptive software architecture: a way to reduce the energy consumption of wireless sensors through event-based sampling

Auteurs: Hatem Algabroun
Publié dans: Microsystem Technologies, 2019, ISSN 0946-7076
Éditeur: Springer Verlag
DOI: 10.1007/s00542-019-04631-9

Development of digitalised maintenance – a concept

Auteurs: Hatem Algabroun, Jon Bokrantz, Basim Al-Najjar, Anders Skoogh
Publié dans: Journal of Quality in Maintenance Engineering, Numéro ahead-of-print/ahead-of-print, 2020, ISSN 1355-2511
Éditeur: Emerald Group Publishing Ltd.
DOI: 10.1108/jqme-04-2019-0039

FEED DRIVE CONDITION MONITORING USING MODAL PARAMETERS

Auteurs: J. Ellinger, T. Semm, M. Benker, P. Kapfinger, R. Kleinwort, M.F. Zah
Publié dans: MM Science Journal, Numéro 2019/04, 2019, Page(s) 3206-3213, ISSN 1803-1269
Éditeur: MM Publishing
DOI: 10.17973/mmsj.2019_11_2019072

Maintenance 4.0 to fulfil the demands of Industry 4.0 and Factory of the Future

Auteurs: Basim Al-Najjar, Hatem Algabroun, Mikael Jonsson
Publié dans: Journal of Engineering Research and Application, Numéro 8(11), 2018, Page(s) 20-31, ISSN 2248-9622
Éditeur: IJERA
DOI: 10.9790/9622-0811022031

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