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CORDIS

Strategies and Predictive Maintenance models wrapped around physical systems for Zero-unexpected-Breakdowns and increased operating life of Factories

Leistungen

Second version of D3.1. Z-Bre4k semantic modelling

details on Z-Bre4k ontology, modelling of production assets, products, processes and manufacturing operations taking into account the feedback from the validation phase.

1st Interim Plan for the Exploitation and Dissemination of Results (PEDR)

The 1st version of PEDR; IPR and knowledge management; exploitation and dissemination plans; dissemination activities enacted; events organised and/or attended; press releases, publications, promotional video clips, Social Media profiles.

Z-Bre4k DSS towards operational optimisation

Report on the design of decision support system and its reasoning engine; addressing also process optimisation, strategy exploration, risk assessment methods, automatic recommendations and maintenance scheduling.

Innovation Management

Final report on the innovation management activities and their conclusions (TASK 8.4).

Z-Bre4k SoA analysis

Report on the analysis of SoA, existing/past projects; opportunities/threats.

IDS, connectors and containers ready for integration with AUTOWARE OS

report detailing the development of extensions of AUTOWARE for IDS trusted data connector and technology support.

Report on training activities

Training material and assets produced; details on internal/external training sessions; calendar of activities; analysis of feedback received.

Techonolgy Validation Plan

Methodology, Test Cases, Test Procedures, timing, performance and defect log forms, results from the validation of the Z-Bre4k technologies.

Dissemination and Communication activities

Final report for all communication and dissemination plans; dissemination activities enacted; events organised and/or attended; press releases, publications, promotional video clips, Social Media profiles (TASK 8.2).

Evaluation Methodology and Plan

Methodological framework, instruments and indicators for technical, user acceptance and impact assessment evaluation.

Roadmap for the project results' uptake

Details and conclusions from the 3 thematic workshops; steps for uptaking by other industries; consolidated requirements for scaling up; new use-cases.

Z-Bre4k strategy implementation and risk analysis

Report on Z-Strategies initial conception, their adaptation at each pilot use-case, and their actual realisation at the operational environment.

Report on standards (a) used and (b) triggered in Z-Bre4k

Description of Z-Bre4k standards adherence; detailed justification of standardisation elements triggering discussions in relevant bodies.

Z-Bre4k semantic modelling

Details on Z-Bre4k ontology, modelling of production assets, products, processes and manufacturing operations.

Z-Bre4k system architecture

Information flow among modules, data structure format and protocols, architectural elements and relations associated to production processes and to involved machines.

Data Management Plan (DMP)

The plan will describe ways to manage all research data, and metadata, during and after the project duration; open data sets, means to access, license attached, updating, etc.

Z-Bre4k KBS

Details of iLike integration within Z-Bre4k; supported functionalities and context and process references, asset/product/process signatures.

KRI models and tools for FMECA and criticality analysis

Report detailing the designed KRI and FMECA models, incl. design of the Criticality Analysis subsystem.

2nd Interim PEDR

Update for the 2nd project year; similar structure as D8.2.

Z-Bre4k strategies and policies

Report on strategies and policies to improve maintainability and operating life of production systems.

White Paper on transferability and take-up of Z-Bre4k system

Obstacles/barriers and methods used to overcome them; technical and non-technical requirements for transferability and take-up of Z-Bre4k.

Z-Bre4k plant communication middleware

Report elaborating on the design of the middleware for communicating and synchronising with higher level plant management systems.

Incorporation of AUTOWARE and certain extensions in Z-Bre4k

Report detailing elements of integration with AUTROWARE OS, incl. IDS, connectors and containers.

Z-Bre4k system at TRL6, for Demonstration

Executable software components, configuration files and data storages of Z-Bre4k as an integrated prototype system to be deployed and demonstrated (OTH). Includes Deployment Guide and User Guides (R), as well as setup facilities automating deployment.

Project Website

A project website will be developed and also continuously updated with project progress information. It will also include all developed dissemination instruments / assets.

Final PEDR

The final PEDR version covering the whole project duration. In addition to previous versions, this will also address joint venture establishment, exploitation results, addi-tional financing secured and investment plans, innovation management activities and their conclusions.

Veröffentlichungen

Regressive Event-Tracker: A Causal Prediction Modelling of Degradation in High Speed Manufacturing

Autoren: Veerendra C. Angadi, Alireza Mousavi, Diego Bartolomé, Matteo Tellarini, Matteo Fazziani
Veröffentlicht in: Procedia Manufacturing, Ausgabe 51, 2020, Seite(n) 1567-1572, ISSN 2351-9789
Herausgeber: ELSEVIER
DOI: 10.1016/j.promfg.2020.10.218

Relaxed Rule-Based Learning for Automated Predictive Maintenance: Proof of Concept

Autoren: Margarita Razgon, Alireza Mousavi
Veröffentlicht in: Algorithms, Ausgabe 13/9, 2020, Seite(n) 219, ISSN 1999-4893
Herausgeber: MDPI Open Access Publishing
DOI: 10.3390/a13090219

Causal Modelling for Predicting Machine Tools Degradation in High Speed Production Process

Autoren: Veerendra C. Angadi, Ali Mousavi, Diego Bartolomé, Matteo Tellarini, Matteo Fazziani
Veröffentlicht in: IFAC-PapersOnLine, Ausgabe 53/3, 2020, Seite(n) 271-275, ISSN 2405-8963
Herausgeber: ELSEVIER
DOI: 10.1016/j.ifacol.2020.11.044

Approach for a Holistic Predictive Maintenance Strategy by Incorporating a Digital Twin

Autoren: Andreas Werner, Nikolas Zimmermann, Joachim Lentes
Veröffentlicht in: Procedia Manufacturing, Ausgabe 39, 2019, Seite(n) 1743-1751, ISSN 2351-9789
Herausgeber: Elsevier B.V.
DOI: 10.1016/j.promfg.2020.01.265

Vorausschauende Instandhaltung – Wenn der Digitale Schatten an seine Grenzen stößt

Autoren: Andreas Werner, Veerendra C. Angadi, Joachim Lentes, Alireza Mousavi
Veröffentlicht in: ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb, Ausgabe 115/5, 2020, Seite(n) 335-339, ISSN 0947-0085
Herausgeber: Carl Hanser Verlag GmbH & Co.
DOI: 10.3139/104.112295

A PdM Framework Through the Event-based Genomics of Machine Breakdown

Autoren: Morad Danishvar, Veerendra C. Angadi, Alireza Mousavi
Veröffentlicht in: 2020 Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modeling (APARM), 2020, Seite(n) 1-6, ISBN 978-1-7281-7102-9
Herausgeber: IEEE
DOI: 10.1109/aparm49247.2020.9209530

Embedded vision system for monitoring arc welding with thermal imaging and deep learning

Autoren: Andrea Fernández, Alvaro Souto, Roi Méndez-Rial
Veröffentlicht in: 2020 International Conference on Omni-layer Intelligent Systems (COINS), Ausgabe 31 Aug.-2 Sept. 2020, 2020, Seite(n) pp. 1-6
Herausgeber: IEEE
DOI: 10.5281/zenodo.4300342

Maintenance Planning Support Tool Based on Condition Monitoring with Semantic Modeling of Systems

Autoren: Alice Reina, Sang-Je Cho, Gökan May, Eva Coscia, Jacopo Cassina, Dimitris Kiritsis
Veröffentlicht in: Enterprise Interoperability - Smart Services and Business Impact of Enterprise Interoperability, Ausgabe Book, 2018, Seite(n) 271-276, ISBN 9781-119564034
Herausgeber: John Wiley & Sons, Inc.
DOI: 10.1002/9781119564034.ch33

Predictive Maintenance Platform Based on Integrated Strategies for Increased Operating Life of Factories

Autoren: Gökan May, Nikos Kyriakoulis, Konstantinos Apostolou, Sangje Cho, Konstantinos Grevenitis, Stefanos Kokkorikos, Jovana Milenkovic, Dimitris Kiritsis
Veröffentlicht in: Advances in Production Management Systems. Smart Manufacturing for Industry 4.0 - IFIP WG 5.7 International Conference, APMS 2018, Seoul, Korea, August 26-30, 2018, Proceedings, Part II, Ausgabe 536, 2018, Seite(n) 279-287, ISBN 978-3-319-99706-3
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-319-99707-0_35

Event-Based Predictive Maintenance on Top of Sensor Data in a Real Industry 4.0 Case Study

Autoren: Athanasios Naskos, Georgia Kougka, Theodoros Toliopoulos, Anastasios Gounaris, Cosmas Vamvalis, Daniel Caljouw
Veröffentlicht in: Machine Learning and Knowledge Discovery in Databases - International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part II, Ausgabe 1168, 2020, Seite(n) 345-356, ISBN 978-3-030-43886-9
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-030-43887-6_28

The Next Production Revolution

Autoren: Lara Binotti
Veröffentlicht in: DATA MANAGER, Ausgabe 28 November 2019, 2019
Herausgeber: DATAMANAGER

I-Like Machines and data value. How to receive and to use data from machines?

Autoren: Serena Albertario
Veröffentlicht in: DATA MANAGER, Ausgabe 23 October 2019, 2019
Herausgeber: DATAMANAGER

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