Artificial Intelligence for improved PROduction efFICIEncy, quality and maiNTenance

Leistungen

Report on the AIPROFICIENT clustering and networking activities with short assessment of impact

Integration with AI4EU's AI on-demand platform

Report on building upon the result of AI4EU project and reuse of key AI enablers data source and AI services

Validation analysis of demonstration scenarios

Report detailing the results from data collection and analysis from the pilot sites during validation period based on D61 methodology

Project identity kit and communication material

Guidelines about the project identity and web channels, and communication material published (initial version).

AI-PROFICIENT hybrid models and digital twins first version (state of the art, designing and specification)

Report on state of the art design and specification of digital twins physical modelling and simulation of manufacturing processes selected for demonstration activities

Final public project report

Report of AIPROFICIENTs activities decisions results conclusions

System integration and deployment

Report summarising WP achievements related to system integration deployment

User experience evaluation

Report on the evaluation of the user experience and recommendation for future improvements of humanmachine interaction

Semantic data model for integrated digital twins

Report on semantic data model developments and strategy for smart data fusion and interlinking of digital twins

Smart components and local AI at system edge

Report summarising WP achievements related to smart components and local AI at the system edge

Best practices and lessons learnt

Analysis of the demonstration results lessons learnt at the pilot sites after deployment of AIPROFICIENT and a best practice guide for future deployments

Legal and ethical requirements for human-machine interaction

Report on identification of legal and ethical issues at pilot sites and specification of AIPROFICIENT strategy for humanmachine interaction

AI-PROFICIENT approach for XAI

Report on the techniques deployed to improve the explainability and transparency of AI enabled recommendation and decision support

Standardization activities of AI-PROFICIENT

Report on standardization activities in terms of data interfacing and humanmachine interaction

Project identity kit and communication material (final version)

Report on guidelines about the project identity and web channels and communication material published final version updated with results

AI-PROFICIENT validation methodology (final version)

Report on methodology for validation of demonstration results LCA and ethical aspects in each pilot site

Pilot-specific demonstration scenarios

Based on D11 and D12 report will present the full set of demo scenarios technical and functional aspects to be deployed in the pilots

Future scenario based decision making

Report on the AI tools and mechanisms deployed to enable predictive decisionmaking and selflearning capabilities specification design and implementation

Human-machine interaction and feedback mechanisms (Design and specification)

Report on specificationdesign of reinforcement learning mechanisms based on the human knowledge and feedback

AI-PROFICIENT ethical recommendations

Report on the ethical recommendations of AI PROFICIENT and instantiation of HLEG guidelines to manufacturing domain

Human-machine interaction, explainable AI and shop-floor feedback

Report summarising WP achievements related to HMIs XAIs and shopfloor feedback

AI-PROFICIENT system architecture

Report on the architectural design of the AI PROFICIENT serviceoriented solution and the underlying AI services and tools

Communication middleware and IIoT interoperability (Design and specification)

Report on specificationdesign of the serviceoriented communication middleware and interoperability

Roadmap for dissemination and communication first release

List of planned activities, their description, place, date and specific target audiences as well as the partners responsible.

AI-PROFICIENT validation methodology (preliminary version)

Report on methodology for validation of demonstration results LCA and ethical aspects in each pilot site

Predictive AI for process quality assurance

Algorithms for data-driven predictive AI analytics developed for improved quality, and fault and incident detection in underlying processes

System-level proactive maintenance strategy

Algorithms for system-level proactive maintenance strategies and KPIs

Local AI for proactive maintenance support

Algorithms for prognostics applied to manufacturing assets and components.

Predictive AI analytics for component self-diagnostics

Algorithms for component self-diagnostics and fault identification at system edge.

Veröffentlichungen

Learning representations with end-to-end models for improved remaining useful life prognostic

Autoren: Alaaeddine CHAOUB, Alexandre VOISIN, Christophe CERISARA, and Benoıt IUNG
Veröffentlicht in: Proceedings of the 6th European Conference of the Prognostics and Health Management Society, Ausgabe VOL. 6 NO. 1 (2021), 2021, Seite(n) 97-104, ISBN 978-1-936263-34-9
Herausgeber: PHM Society

Internet of Things Platform Architecture for Smart Factories

Autoren: Lazar Berbakov and Nikola Tomasevic
Veröffentlicht in: Fourth International Balkan Conference on Communications and Networking BalkanCom 2021, 2021
Herausgeber: Fourth International Balkan Conference on Communications and Networking BalkanCom 2021

Can Ontologies help making Machine Learning Systems Accountable?

Autoren: Iker Esnaola-Gonzalez
Veröffentlicht in: Proceedings of the Workshop on Data meets Applied Ontologies in Explainable AI (DAO-XAI 2021), CEUR, Ausgabe Volume 2998, 2021
Herausgeber: 3rd International Workshop on Data meets Applied Ontologies
DOI: 10.13140/rg.2.2.29339.18722

Ethical Internal Logistics 4.0: Observations and Suggestions from a Working Internal Logistics Case

Autoren: Marc M. Anderson & Karën Fort
Veröffentlicht in: Studies in Computational Intelligence book serie, Ausgabe volume 1083, 2023, Seite(n) 317-328, ISSN 1860-9503
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-031-24291-5_25

Artificial-Intelligence-Based Maintenance Scheduling for Complex Systems with Multiple Dependencies

Autoren: Nguyen, V.-T., Do, P., & Voisin, A.
Veröffentlicht in: PHM Society European Conference, Ausgabe 7(1), 2022, Seite(n) 586–589, ISBN 978-1-936263-36-3
Herausgeber: PHM Society
DOI: 10.36001/phme.2022.v7i1.3294

Some Ethical Reflections on the EU AI Act

Autoren: Marc M. Anderson
Veröffentlicht in: IAIL 2022: 1st International Workshop on Imagining the AI Landscape After the AI Act, Ausgabe 3221, 2022, ISSN 1613-0073
Herausgeber: IAIL 2022

Weighted-QMIX-based optimization for maintenance decision-making of multi-component systems

Autoren: Van-Thai Nguyen, Phuc Do, Alexandre Voisin, and Benoit Iung
Veröffentlicht in: Proceedings of the 7th European Conference of the Prognostics and Health Management Society 2022, Ausgabe 7(1), 2022, Seite(n) 360-367, ISBN 978-1-936263-36-3
Herausgeber: PHM Society
DOI: 10.36001/phme.2022.v7i1.3319

Deep Learning Representation Pre-training for Industry 4.0

Autoren: Chaoub, A., Cerisara, C., Voisin, A., & Iung, B.
Veröffentlicht in: Proceedings of the 7th European Conference of the Prognostics and Health Management Society 2022, Ausgabe 7(1), 2022, Seite(n) 571-573, ISBN 978-1-936263-36-3
Herausgeber: PHM Society
DOI: 10.36001/phme.2022.v7i1.2784

On the use of reinforcement learning for maintenance decision-making of multi-state component systems with imperfect maintenance

Autoren: Van-Thai NGUYEN, Phuc DO, Alexandre VOISIN and Benoit IUNG
Veröffentlicht in: Proceedings of the 31st European Safety and Reliability Conference, Ausgabe 2021, 2021, Seite(n) 2142-2149
Herausgeber: Research Publishing
DOI: 10.3850/978-981-18-2016-8304-cd

Towards interpreting deep learning models for industry 4.0 with gated mixture of experts

Autoren: Alaaeddine Chaoub, Christophe Cerisara, Alexandre Voisin, Benoît Iung
Veröffentlicht in: 30th European Signal Processing Conference, EUSIPCO 2022, Aug 2022, Belgrade, Serbia, 2022
Herausgeber: EUSIPCO 2022

Divide, Propagate and Conquer: Splitting a Complex Diagnosis Problem for Early Detection of Faults in a Manufacturing Production Line

Autoren: Kerman Lopez de Calle - Etxabe, Meritxell Gomez - Omella and Eider Garate - Perez
Veröffentlicht in: Proceedings of the European Conference of the PHM Society 2021, Ausgabe VOL.6 No.1, published: 2021-06-29, 2021, Seite(n) 543-551, ISBN 978-1-936263-34-9
Herausgeber: EUROPEAN CONFERENCE OF THE PROGNOSTICS AND HEALTH MANAGEMENT SOCIETY

Towards a Circular Rotating Blade Wear Assessment Digital Twin for Manufacturing Lines

Autoren: López de Calle - Etxabe Kerman, Garate - Perez Eider, Arnaiz Aitor
Veröffentlicht in: IFAC PapersOnLine 55-2, Ausgabe 2022, 2022, Seite(n) 561–566
Herausgeber: Elsevier
DOI: 10.1016/j.ifacol.2022.04.253

FIDES: An ontology-based approach for making machine learning systems accountable

Autoren: Izaskun Fernandez, Cristina Aceta, Eduardo Gilabert, Iker Esnaola-Gonzalez
Veröffentlicht in: Journal of Web Semantics, Ausgabe 79, 2023, ISSN 1570-8268
Herausgeber: Elsevier BV
DOI: 10.1016/j.websem.2023.100808

Artificial-intelligence-based maintenance decision-making and optimization for multi-state component systems

Autoren: Van-Thai Nguyen, Phuc Do, Alexandre Vosin, Benoit Iung
Veröffentlicht in: Reliability Engineering & System Safety, Ausgabe 228, 2022, Seite(n) 108757, ISSN 0951-8320
Herausgeber: Elsevier BV
DOI: 10.1016/j.ress.2022.108757

From the ground up: developing a practical ethical methodology for integrating AI into industry

Autoren: Marc M. Anderson & Karën Fort
Veröffentlicht in: AI & SOCIETY volume, Ausgabe 38, 2023, Seite(n) 631-645
Herausgeber: Springer
DOI: 10.1007/s00146-022-01531-x

Human Where? A New Scale Defining Human Involvement in Technology Communities from an Ethical Standpoint”

Autoren: Anderson, Marc, and Karën Fort
Veröffentlicht in: International Review of Information Ethics, Ausgabe Vol. 31 (08/2022), 2022, Seite(n) 1-12, ISSN 2563-5638
Herausgeber: Univ. of Alberta, Canada
DOI: 10.29173/irie477

Optimisation de la maintenance basée sur l'intelligence artificielle pour des systèmes à dépendances multiples

Autoren: Nguyen, Van-Thai
Veröffentlicht in: https://hal.univ-lorraine.fr/tel-04205243, Ausgabe 2, 2023
Herausgeber: Université de Lorraine

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