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Reference architecture for a collaborative predictive platform for smart maintenance in manufacturing

  1. TitleReference architecture for a collaborative predictive platform for smart maintenance in manufacturing
    Author Balogh Zoltán 1976- SAVINFO - Ústav informatiky SAV    SCOPUS    RID    ORCID
    Co-authors Gatial Emil 1978- SAVINFO - Ústav informatiky SAV    SCOPUS    RID    ORCID

    		Matejka Tomáš

    Co-authors Barbosa J. Leitão P.
    Source document 22nd IEEE International Conference on Intelligent Engineering Systems : Proceedings. P. 299-303. - Spain : IEEE, 2018
    Languageeng - English
    CountryES - Spain
    Document kindrozpis článkov z periodík (rzb)
    CitationsTALAMO, C. - PAGANIN, G. - ROTA, F. Industry 4.0 for failure information management within Proactive Maintenance. In IOP Conference Series: Earth and Environmental Science. ISSN 17551307, 2019-07-30, 296, 1, pp.
    HOFFMANN SOUZA, Marcos Leandro - DA COSTA, Cristiano Andre - RAMOS, Gabriel de Oliveira - RIGHI, Rodrigo da Rosa. A survey on decision-making based on system reliability in the context of Industry 4.0. In JOURNAL OF MANUFACTURING SYSTEMS. ISSN 0278-6125, 2020, vol. 56, no., pp. 133-156.
    DALZOCHIO, Jovani - KUNST, Rafael - PIGNATON, Edison - BINOTTO, Alecio - SANYAL, Srijnan - FAVILLA, Jose - BARBOSA, Jorge. Machine learning and reasoning for predictive maintenance in Industry 4.0: Current status and challenges. In COMPUTERS IN INDUSTRY. ISSN 0166-3615, 2020, vol. 123, no., pp. Dostupné na: https://doi.org/10.1016/j.compind.2020.103298.
    NIYONAMBAZA, Irene - ZENNARO, Marco - UWITONZE, Alfred. Predictive Maintenance (PdM) Structure Using Internet of Things (IoT) for Mechanical Equipment Used into Hospitals in Rwanda. In FUTURE INTERNET, 2020, vol. 12, no. 12, pp. Dostupné na: https://doi.org/10.3390/fi12120224.
    GENTIEN, David - PIQUERET-STEPHAN, Laure - HENRY, Emilie - ALBAUD, Benoit - RAPINAT, Audrey - KOSCIELNY, Serge - SCOAZEC, Jean-Yves - VIELH, Philippe. Digital Multiplexed Gene Expression Analysis of mRNA and miRNA from Routinely Processed and Stained Cytological Smears: A Proof-of-Principle Study. In ACTA CYTOLOGICA. ISSN 0001-5547, 2021, vol. 65, no. 1, pp. 88-98. Dostupné na: https://doi.org/10.1159/000510174.
    BHARTI, Sourabh - MCGIBNEY, Alan. Privacy-Aware Resource Sharing in Cross-Device Federated Model Training for Collaborative Predictive Maintenance. In IEEE ACCESS. ISSN 2169-3536, 2021, vol. 9, no., pp. 120367-120379. Dostupné na: https://doi.org/10.1109/ACCESS.2021.3108839.
    BJORSELL, Niclas - DADASH, Amirhossein Hosseinzadeh. Finite Horizon Degradation Control of Complex Interconnected Systems. In IFAC PAPERSONLINE. ISSN 2405-8963, 2021, vol. 54, no. 1, pp. 319-324. Dostupné na: https://doi.org/10.1016/j.ifacol.2021.08.036.
    KIM, Gwang Seok - LEE, Young Hoon. Transformation towards a Smart Maintenance Factory: The Case of a Vessel Maintenance Depot. In MACHINES, 2021, vol. 9, no. 11, pp. Dostupné na: https://doi.org/10.3390/machines9110267.
    DOS SANTOS ROSOLEM, Letícia Alves - DA COSTA CASTRO, Alexandre - DESCHAMPS, Fernando - DE LIMA, Edson Pinheiro. Associative data-process model in manufacturing systems: Application case in automotive industry. In Advances in Transdisciplinary Engineering, 2021-10-20, 16, pp. 427-435. Dostupné na: https://doi.org/10.3233/ATDE210117.
    WESENDRUP, K. - HELLINGRATH, B. Aligning the production planning and control process with prognostics and health management. In Annual Conference of the PHM Society. 2021, vol. 9, no. 1, pp. 1-12. doi: 10.36001/phmconf.2021.v13i1.2990.
    GARCIA, Alvaro - BREGON, Anibal - MARTINEZ-PRIETO, Miguel A. A non-intrusive Industry 4.0 retrofitting approach for collaborative maintenance in traditional manufacturing. In COMPUTERS & INDUSTRIAL ENGINEERING. ISSN 0360-8352, 2022, vol. 164, no., pp. Dostupné na: https://doi.org/10.1016/j.cie.2021.107896.
    CALABRESE, Francesca - REGATTIERI, Alberto - BORTOLINI, Marco - GALIZIA, Francesco Gabriele. Data-Driven Fault Detection and Diagnosis: Challenges and Opportunities in Real-World Scenarios. In APPLIED SCIENCES-BASEL, 2022, vol. 12, no. 18, pp. Dostupné na: https://doi.org/10.3390/app12189212.
    RANATHUNGA, Tharindu - MCGIBNEY, Alan - REA, Susan - BHARTI, Sourabh. Blockchain based Decentralised Model Aggregation for Cross-Silo Federated Learning in Industry 4.0. In IEEE Internet of Things Journal, 2022-01-01, pp. Dostupné na: https://doi.org/10.1109/JIOT.2022.3218704.
    WESENDRUP, K. - HELLINGRATH, B. A prescriptive maintenance aligned production planning and control reference process. In European Conference on Information Systems (ECIS 2022). 2022, pp. 1-12. doi: 10.36001/phmconf.2021.v13i1.2990.
    SANCHEZ-LONDONO, David - BARBIERI, Giacomo - FUMAGALLI, Luca. Smart retrofitting in maintenance: a systematic literature review. In JOURNAL OF INTELLIGENT MANUFACTURING, 2023, vol. 34, no. 1, pp. 1-19. ISSN 0956-5515. Dostupné na: https://doi.org/10.1007/s10845-022-02002-2.
    CALABRESE, F. - REGATTIERI, A. - BORTOLINI, M. - GALIZIA, F.G. Data-Driven Fault Detection and Diagnosis: Challenges and Opportunities in Real-World Scenarios. In APPLIED SCIENCES-BASEL. SEP 2022, vol. 12, no. 18. Dostupné na: https://doi.org/10.3390/app12189212.
    RANATHUNGA, T. - MCGIBNEY, A. - REA, S. - BHARTI, S. Blockchain-Based Decentralized Model Aggregation for Cross-Silo Federated Learning in Industry 4.0. In IEEE INTERNET OF THINGS JOURNAL. ISSN 2327-4662, MAR 1 2023, vol. 10, no. 5, p. 4449-4461. Dostupné na: https://doi.org/10.1109/JIOT.2022.3218704.
    VAN DINTER, Raymon - TEKINERDOGAN, Bedir - CATAL, Cagatay. Reference architecture for digital twin-based predictive maintenance systems. In COMPUTERS & INDUSTRIAL ENGINEERING, 2023, vol. 177, no., pp. ISSN 0360-8352. Dostupné na: https://doi.org/10.1016/j.cie.2023.109099.
    RATH, Suneel Kumar - SAHU, Madhusmita Kumar - DAS, Shom Prasad. Applications of machine learning in industrial reliability model. In Handbook of Research on Applications of AI, Digital Twin, and Internet of Things for Sustainable Development, 2023-02-17, pp. 30-46. Dostupné na: https://doi.org/10.4018/978-1-6684-6821-0.ch003.
    JAIN, V. - VERHELST, M. Towards heterogeneous multi-core systems-on-chip for edge machine learning: Journey from single-core acceleration to multi-core heterogeneous systems. Springer. ISBN 978-3-031-38229-1, 2024, 186 p.
    CategoryADMB - Scientific papers in foreign non-impacted journals registered in Web of Sciences or Scopus
    Category of document (from 2022)V3 - Vedecký výstup publikačnej činnosti z časopisu
    Type of documentčlánok
    Year2019
    Registered inWOS
    Registered inSCOPUS
    DOI 10.1109/INES.2018.8523969
    article

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    Reference architecture for a collaborative predictive platform for smart maintenance in manufacturing.pdfNeprístupný/archív715.2 KB1Publisher's version
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    2018
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