Predictive Cognitive Maintenance Decision Support System

Risultati finali

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)

Project website (including internal project repository)

Project website (PU), including internal project repository for CO.

Pubblicazioni

Time Series Analysis Application on Industry 4.0: PreCoM Project

Autori: Vaamonde-Rivas, Manuel; Febrero-Bande, Manuel; Pateiro-López, Beatriz
Pubblicato in: Journal of Quality in Manufacturing Engineering, 2021
Editore: Journal of Quality in Manufacturing Engineering
DOI: 10.5281/zenodo.4556819

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

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

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

Autori: Maximilian Benker, Robin Kleinwort, Michael F. Zah
Pubblicato in: 2019 IEEE International Conference on Prognostics and Health Management (ICPHM), 2019, Pagina/e 1-7, ISBN 978-1-5386-8357-6
Editore: 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

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

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

Autori: Simon Zhai, Alexander Riess, Gunther Reinhart
Pubblicato in: 2019 IEEE International Conference on Prognostics and Health Management (ICPHM), 2019, Pagina/e 1-8, ISBN 978-1-5386-8357-6
Editore: IEEE International Conference on Prognostics and Health Management 2019
DOI: 10.1109/icphm.2019.8819397

Smart Maintenance Model using Cyber Physical System

Autori: Al-Najjar, Basim; Algabroun, Hatem; Jonsson, Mikael
Pubblicato in: "Conference on ""Role of Industrial Engineering in Industry 4.0 Paradigm"" (ICIEIND)", Numero 27-30/09/2018, 2018, Pagina/e 1-6
Editore: ICIEIND

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

Autori: Mario Lorenz, Sebastian Knopp, Philipp Klimant
Pubblicato in: 2018 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), 2018, Pagina/e 151-153, ISBN 978-1-5386-7592-2
Editore: IEEE
DOI: 10.1109/ismar-adjunct.2018.00055

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

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

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

Autori: Hatem Algabroun
Pubblicato in: 2020, ISBN 978-91-89081-94-9
Editore: Linnaeus University Press

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

Autori: Maximilian Benker, Lukas Furtner, Thomas Semm, Michael F. Zaeh
Pubblicato in: Journal of Manufacturing Systems, 2020, ISSN 0278-6125
Editore: 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

Autori: Hatem Algabroun, Basim Al-Najjar, Mikael Jonsson
Pubblicato in: IFAC-PapersOnLine, Numero 53/3, 2020, Pagina/e 185-190, ISSN 2405-8963
Editore: Elsevier
DOI: 10.1016/j.ifacol.2020.11.030

Zustandsüberwachung von Vorschubantrieben mithilfe eingebetteter Sensoren

Autori: Johannes Ellinger, Maximilian Benker, James Rowe, Robin Kleinwort, Michael F. Zäh, Sebastian Unsleber
Pubblicato in: ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb, Numero 114/3, 2019, Pagina/e 115-118, ISSN 0947-0085
Editore: Carl Hanser Verlag GmbH & Co.
DOI: 10.3139/104.112046

Predictive Maintenance als Wegbereiter für die instandhaltungsgerechte Produktionssteuerung

Autori: Simon Zhai, Gunther Reinhart
Pubblicato in: ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb, Numero 113/5, 2018, Pagina/e 298-301, ISSN 0947-0085
Editore: 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

Autori: Hatem Algabroun
Pubblicato in: Microsystem Technologies, 2019, ISSN 0946-7076
Editore: Springer Verlag
DOI: 10.1007/s00542-019-04631-9

Development of digitalised maintenance – a concept

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

FEED DRIVE CONDITION MONITORING USING MODAL PARAMETERS

Autori: J. Ellinger, T. Semm, M. Benker, P. Kapfinger, R. Kleinwort, M.F. Zah
Pubblicato in: MM Science Journal, Numero 2019/04, 2019, Pagina/e 3206-3213, ISSN 1803-1269
Editore: 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

Autori: Basim Al-Najjar, Hatem Algabroun, Mikael Jonsson
Pubblicato in: Journal of Engineering Research and Application, Numero 8(11), 2018, Pagina/e 20-31, ISSN 2248-9622
Editore: IJERA
DOI: 10.9790/9622-0811022031

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