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Predictive Cognitive Maintenance Decision Support System

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Open data management plan (opens in new window)

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 (opens in new window)
Model implementation report (I) (opens in new window)

Model implementation report (D3.3)

Dissemination report (opens in new window)

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 (opens in new window)
LCC: screening test report (opens in new window)
IPR registry (opens in new window)
Model implementation report (II) (opens in new window)

Model implementation report (D3.3)

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

Scheduling algorithm validation report v1

Embedded sensor requirements specifications (opens in new window)
Ecosystem report (opens in new window)

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

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

Scheduling model report

Project Quality Handbook (opens in new window)

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) (opens in new window)

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

Publications

Time Series Analysis Application on Industry 4.0: PreCoM Project (opens in new window)

Author(s): Vaamonde-Rivas, Manuel; Febrero-Bande, Manuel; Pateiro-López, Beatriz
Published in: Journal of Quality in Manufacturing Engineering, 2021
Publisher: Journal of Quality in Manufacturing Engineering
DOI: 10.5281/zenodo.4556819

Software module based on lifetime analysis for a predictive maintenance decision-support system (opens in new window)

Author(s): Vaamonde-Rivas, Manuel; Monsalve-Cobis, Abelardo; Pardo-Fernández, Juan Carlos; de Uña-Álvarez, Jacobo
Published in: Journal of Quality in Manufacturing Engineering, 2021
Publisher: Journal of Quality in Manufacturing Engineering
DOI: 10.5281/zenodo.4557168

Estimating remaining useful life of machine tool ball screws via probabilistic classification (opens in new window)

Author(s): Maximilian Benker, Robin Kleinwort, Michael F. Zah
Published in: 2019 IEEE International Conference on Prognostics and Health Management (ICPHM), 2019, Page(s) 1-7, ISBN 978-1-5386-8357-6
Publisher: 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 (opens in new window)

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

Formulation and Solution for the Predictive Maintenance Integrated Job Shop Scheduling Problem (opens in new window)

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

Smart Maintenance Model using Cyber Physical System

Author(s): Al-Najjar, Basim; Algabroun, Hatem; Jonsson, Mikael
Published in: "Conference on ""Role of Industrial Engineering in Industry 4.0 Paradigm"" (ICIEIND)", Issue 27-30/09/2018, 2018, Page(s) 1-6
Publisher: ICIEIND

Industrial Augmented Reality: Requirements for an Augmented Reality Maintenance Worker Support System (opens in new window)

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

Industrial Augmented Reality: Concepts and User Interface Designs for Augmented Reality Maintenance Worker Support Systems (opens in new window)

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

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

Author(s): Hatem Algabroun
Published in: 2020, ISBN 978-91-89081-94-9
Publisher: Linnaeus University Press

Utilizing uncertainty information in remaining useful life estimation via Bayesian neural networks and Hamiltonian Monte Carlo (opens in new window)

Author(s): Maximilian Benker, Lukas Furtner, Thomas Semm, Michael F. Zaeh
Published in: Journal of Manufacturing Systems, 2020, ISSN 0278-6125
Publisher: 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 (opens in new window)

Author(s): Hatem Algabroun, Basim Al-Najjar, Mikael Jonsson
Published in: IFAC-PapersOnLine, Issue 53/3, 2020, Page(s) 185-190, ISSN 2405-8963
Publisher: Elsevier
DOI: 10.1016/j.ifacol.2020.11.030

Zustandsüberwachung von Vorschubantrieben mithilfe eingebetteter Sensoren (opens in new window)

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

Predictive Maintenance als Wegbereiter für die instandhaltungsgerechte Produktionssteuerung (opens in new window)

Author(s): Simon Zhai, Gunther Reinhart
Published in: ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb, Issue 113/5, 2018, Page(s) 298-301, ISSN 0947-0085
Publisher: 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 (opens in new window)

Author(s): Hatem Algabroun
Published in: Microsystem Technologies, 2019, ISSN 0946-7076
Publisher: Springer Verlag
DOI: 10.1007/s00542-019-04631-9

Development of digitalised maintenance – a concept (opens in new window)

Author(s): Hatem Algabroun, Jon Bokrantz, Basim Al-Najjar, Anders Skoogh
Published in: Journal of Quality in Maintenance Engineering, Issue ahead-of-print/ahead-of-print, 2020, ISSN 1355-2511
Publisher: Emerald Group Publishing Ltd.
DOI: 10.1108/jqme-04-2019-0039

FEED DRIVE CONDITION MONITORING USING MODAL PARAMETERS (opens in new window)

Author(s): J. Ellinger, T. Semm, M. Benker, P. Kapfinger, R. Kleinwort, M.F. Zah
Published in: MM Science Journal, Issue 2019/04, 2019, Page(s) 3206-3213, ISSN 1803-1269
Publisher: 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 (opens in new window)

Author(s): Basim Al-Najjar, Hatem Algabroun, Mikael Jonsson
Published in: Journal of Engineering Research and Application, Issue 8(11), 2018, Page(s) 20-31, ISSN 2248-9622
Publisher: IJERA
DOI: 10.9790/9622-0811022031

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