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CORDIS - EU research results
CORDIS

UNIFIED PREDICTIVE MAINTENANCE 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

FFT System Performance Evaluation (opens in new window)

Evaluation of the UPTIME concepts algorithms and tools deployed in the FFT systemic infrastructure Documentation of the lessons learnt

Dissemination, Communication and Data Management Plan (opens in new window)

Documentation of the planned activities with regard to the scientific dissemination of the project’s research results, the wide communication and awareness creation of the project concepts, and the management of the research data produced in the course of the pilots

MAILLIS Business Case, Conceptualization and Evaluation Strategy (opens in new window)

Documentation of the business case in the construction of productive systems, the conceptualization of the UPTIME deployment at MAILLIS case, and the evaluation methodology defined

Whirlpool System Performance Evaluation (opens in new window)

Evaluation of the UPTIME concepts algorithms and tools deployed in the Whirlpool systemic infrastructure Documentation of the lessons learnt

Standardization Plan and Activities Report (opens in new window)

Standardization Plan and Results with appendixes detailing the different proposals to be pushed to standardization bodies and describing the way to implement the UPTIME standards

Dissemination, Awareness Creation and Communication Kit (opens in new window)

Report on the dissemination and communication ie awareness creation activities of each half of the projects duration

Publishable Project Activities Summary Report (opens in new window)
Diagnosis, Prognosis and Decision Making Algorithms (opens in new window)

Documentation of the existing predictive maintenance algorithms and the definition of the ones to be implemented in UPTIME

Whirlpool Business Case, Conceptualization and Evaluation Strategy (opens in new window)

Documentation of the business case in the construction of productive systems, the conceptualization of the UPTIME deployment at Whirlpool case, and the evaluation methodology defined

Methodology Deployment Kit (opens in new window)

Documentation of the UPTIME methodology

Data Management and Processing Patterns (opens in new window)

Documentation of the patterns specified for the industrialfactories data acquisition harmonization and processing

FFT Business Case, Conceptualization and Evaluation Strategy (opens in new window)

Documentation of the business case in the construction of productive systems, the conceptualization of the UPTIME deployment at FFT case, and the evaluation methodology defined.

Market Research (opens in new window)

Market analysis of the predictive maintenance market

MAILLIS System Performance Evaluation (opens in new window)

Evaluation of the UPTIME concepts algorithms and tools deployed in the MAILLIS systemic infrastructure Documentation of the lessons learnt

Conceptual Architecture and System Specification (opens in new window)

This deliverable will give a view on the general architecture of the system which should lay a foundation for the integration of all components Each component will be described through its functional and nonfunctional requirements It will also provide data modelling of the relevant project data sources and system specification

Data-driven FMECA Mechanisms (opens in new window)

This deliverable will document the architecture algorithms methodology and functionality of the prototype of the FMECA mechanism implemented

Industrial Operations Management Dashboard (opens in new window)

Prototype of the the data aggregation and visualization component of the UPTIME emaintenance platform

Diagnosis and Prognosis Framework (opens in new window)

Prototype and documentation of the workflows and algorithms comprising the diagnosis and prognosis framework of the UPTIME emaintenance platform

Catalogue of PM Models, Techniques, Platforms (opens in new window)

It will be a report supported by a database (in access) available for investigation to be investigated on the basis of predefined filters and queries.

Publications

Unveiling Trends and Predictions in Digital Factories (opens in new window)

Author(s): Sophia Karagiorgou, Georgios Vafeiadis, Dimitrios Ntalaperas, Nikolaos Lykousas, Danae Vergeti, Dimitrios Alexandrou
Published in: 2019 15th International Conference on Distributed Computing in Sensor Systems (DCOSS), 2019, Page(s) 326-332, ISBN 978-1-7281-0570-3
Publisher: IEEE
DOI: 10.1109/dcoss.2019.00073

Predictive Maintenance in the 4th Industrial Revolution: Benefits, Business Opportunities, and Managerial Implications (opens in new window)

Author(s): Alexandros Bousdekis, Dimitris Apostolou, Gregoris Mentzas
Published in: IEEE Engineering Management Review, Issue 48/1, 2020, Page(s) 57-62, ISSN 0360-8581
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/emr.2019.2958037

Information Processing for Generating Recommendations Ahead of Time in an IoT-Based Environment (opens in new window)

Author(s): Alexandros Bousdekis, Nikos Papageorgiou, Babis Magoutas, Dimitris Apostolou, Gregoris Mentzas
Published in: International Journal of Monitoring and Surveillance Technologies Research, Issue 5 10.4018/IJMSTR.2017 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJMSTR.2017/4, 2017, Page(s) 38-62, ISSN 2166-7241
Publisher: IGI Publishing
DOI: 10.4018/IJMSTR.2017100103

Enabling condition-based maintenance decisions with proactive event-driven computing (opens in new window)

Author(s): Alexandros Bousdekis, Nikos Papageorgiou, Babis Magoutas, Dimitris Apostolou, Gregoris Mentzas
Published in: Computers in Industry, Issue 100, 2018, Page(s) 173-183, ISSN 0166-3615
Publisher: Elsevier BV
DOI: 10.1016/j.compind.2018.04.019

Towards a Unified Predictive Maintenance System - A Use Case in Production Logistics in Aeronautics (opens in new window)

Author(s): Karl Hribernik, Moritz von Stietencron, Alexandros Bousdekis, Bernd Bredehorst, Gregoris Mentzas, Klaus-Dieter Thoben
Published in: Procedia Manufacturing, Issue 16, 2018, Page(s) 131-138, ISSN 2351-9789
Publisher: Elsevier B.V
DOI: 10.1016/j.promfg.2018.10.168

Decision Making in Predictive Maintenance: Literature Review and Research Agenda for Industry 4.0 (opens in new window)

Author(s): Alexandros Bousdekis, Katerina Lepenioti, Dimitris Apostolou, Gregoris Mentzas
Published in: IFAC-PapersOnLine, Issue 52/13, 2019, Page(s) 607-612, ISSN 2405-8963
Publisher: Elsevier
DOI: 10.1016/j.ifacol.2019.11.226

Prescriptive analytics: Literature review and research challenges (opens in new window)

Author(s): Katerina Lepenioti, Alexandros Bousdekis, Dimitris Apostolou, Gregoris Mentzas
Published in: International Journal of Information Management, Issue 50, 2020, Page(s) 57-70, ISSN 0268-4012
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.ijinfomgt.2019.04.003

Streaming Analytics in Edge-Cloud Environment for Logistics Processes (opens in new window)

Author(s): Moritz von Stietencron, Marco Lewandowski, Katerina Lepenioti, Alexandros Bousdekis, Karl Hribernik, Dimitris Apostolou, Gregoris Mentzas
Published in: Advances in Production Management Systems. Towards Smart and Digital Manufacturing - IFIP WG 5.7 International Conference, APMS 2020, Novi Sad, Serbia, August 30 – September 3, 2020, Proceedings, Part II, Issue 592, 2020, Page(s) 245-253, ISBN 978-3-030-57996-8
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-57997-5_29

A Unified Architecture for Proactive Maintenance in Manufacturing Enterprises (opens in new window)

Author(s): Alexandros Bousdekis, Gregoris Mentzas, Karl Hribernik, Marco Lewandowski, Moritz von Stietencron, Klaus-Dieter Thoben
Published in: Enterprise Interoperability VIII - Smart Services and Business Impact of Enterprise Interoperability, Issue 9, 2019, Page(s) 307-317, ISBN 978-3-030-13692-5
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-13693-2_26

A Proactive Model for Joint Maintenance and Logistics Optimization in the Frame of Industrial Internet of Things (opens in new window)

Author(s): Alexandros Bousdekis, Gregoris Mentzas
Published in: Operational Research in the Digital Era – ICT Challenges - 6th International Symposium and 28th National Conference on Operational Research, Thessaloniki, Greece, June 2017, 2019, Page(s) 23-45, ISBN 978-3-319-95665-7
Publisher: Springer International Publishing
DOI: 10.1007/978-3-319-95666-4_3

Prescriptive Analytics: A Survey of Approaches and Methods (opens in new window)

Author(s): Katerina Lepenioti, Alexandros Bousdekis, Dimitris Apostolou, Gregoris Mentzas
Published in: Business Information Systems Workshops - BIS 2018 International Workshops, Berlin, Germany, July 18–20, 2018, Revised Papers, Issue 339, 2019, Page(s) 449-460, ISBN 978-3-030-04848-8
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-04849-5_39

Using Sensor Data for Predictive Maintenance of a Complex Transportation Asset (opens in new window)

Author(s): Bernd Bredehorst, Olaf Peters, Jeroen Versteeg, Markus Neuhaus, Carl Hans, Moritz Von Stietencron
Published in: Enterprise Interoperability - Smart Services and Business Impact of Enterprise Interoperability, 2018, Page(s) 239-245, ISBN 9781-119564034
Publisher: John Wiley & Sons, Inc.
DOI: 10.1002/9781119564034.ch29

Real-time Predictive Maintenance Based on Complex Event Processing (opens in new window)

Author(s): Klaus-Dieter Thoben, Abderrahim Ait-Alla, Marco Franke, Karl Hribernik, Michael Lütjen, Michael Freitag
Published in: Enterprise Interoperability - Smart Services and Business Impact of Enterprise Interoperability, 2018, Page(s) 291-296, ISBN 9781-119564034
Publisher: John Wiley & Sons, Inc.
DOI: 10.1002/9781119564034.ch36

DRIFT: A Data-driven Failure Mode, Effects and Criticality Analysis Tool (opens in new window)

Author(s): Davide Zanardi, Manuele Barbieri, Giovanni Uguccioni
Published in: Enterprise Interoperability - Smart Services and Business Impact of Enterprise Interoperability, 2018, Page(s) 285-290, ISBN 9781-119564034
Publisher: John Wiley & Sons, Inc.
DOI: 10.1002/9781119564034.ch35

Part 6 Summary: Predictive Maintenance in Industry 4.0 - Methodologies, Tools and Interoperable Applications (opens in new window)

Author(s): Gregoris Mentzas, Karl Hribernik, Klaus-Dieter Thoben, Dimitris Kiritsis, Ali Mousavi
Published in: Enterprise Interoperability - Smart Services and Business Impact of Enterprise Interoperability, 2018, Page(s) 233-237, ISBN 9781-119564034
Publisher: John Wiley & Sons, Inc.
DOI: 10.1002/9781119564034.part6

The Standards as Critical Means of Integration of Advanced Maintenance Approaches to Production Systems (opens in new window)

Author(s): Yves Keraron
Published in: Enterprise Interoperability - Smart Services and Business Impact of Enterprise Interoperability, 2018, Page(s) 297-304, ISBN 9781-119564034
Publisher: John Wiley & Sons, Inc.
DOI: 10.1002/9781119564034.ch37

Predictive Maintenance in a Digital Factory Shop-Floor: Data Mining on Historical and Operational Data Coming from Manufacturers’ Information Systems (opens in new window)

Author(s): Minas Pertselakis, Fenareti Lampathaki, Pierluigi Petrali
Published in: Advanced Information Systems Engineering Workshops - CAiSE 2019 International Workshops, Rome, Italy, June 3-7, 2019, Proceedings, Issue 349, 2019, Page(s) 120-131, ISBN 978-3-030-20947-6
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-20948-3_11

A RAMI 4.0 View of Predictive Maintenance: Software Architecture, Platform and Case Study in Steel Industry (opens in new window)

Author(s): Alexandros Bousdekis, Katerina Lepenioti, Dimitrios Ntalaperas, Danai Vergeti, Dimitris Apostolou, Vasilis Boursinos
Published in: Advanced Information Systems Engineering Workshops - CAiSE 2019 International Workshops, Rome, Italy, June 3-7, 2019, Proceedings, Issue 349, 2019, Page(s) 95-106, ISBN 978-3-030-20947-6
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-20948-3_9

Machine Learning for Predictive and Prescriptive Analytics of Operational Data in Smart Manufacturing (opens in new window)

Author(s): Katerina Lepenioti, Minas Pertselakis, Alexandros Bousdekis, Andreas Louca, Fenareti Lampathaki, Dimitris Apostolou, Gregoris Mentzas, Stathis Anastasiou
Published in: Advanced Information Systems Engineering Workshops - CAiSE 2020 International Workshops, Grenoble, France, June 8–12, 2020, Proceedings, Issue 382, 2020, Page(s) 5-16, ISBN 978-3-030-49164-2
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-49165-9_1

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