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A Testbed for Smart Maintenance Technologies
Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation. Mälardalen Industrial Technology Center, John Engellaus Gata 1, Eskilstuna, 633 61, Sweden.ORCID iD: 0000-0002-4543-0069
Mälardalen Industrial Technology Center, John Engellaus Gata 1, Eskilstuna, 633 61, Sweden.
Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation. Volvo CE, Bolindervägen 100, 635 10, Eskilstuna, Sweden.ORCID iD: 0000-0002-0729-0122
Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation.ORCID iD: 0000-0002-7494-1474
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2024 (English)In: Lecture Notes in Mechanical Engineering, Springer Science and Business Media Deutschland GmbH , 2024, p. 437-450Conference paper, Published paper (Refereed)
Abstract [en]

Industry 4.0 presents nine technologies including Industrial Internet of Things (IIoT), Big Data and Analytics, Augmented Reality (AR), etc. Some of the technologies play an important role in the development of smart maintenance technologies. Previous research presents several technologies for smart maintenance. However, one problem is that the manufacturing industry still finds it challenging to implement smart maintenance technologies in a value-adding way. Open questionnaires and interviews have been used to collect information about the current needs of the manufacturing industry. Both the empirical findings of this paper, as well as previous research, show that knowledge is the most common challenge when implementing new technologies. Therefore, in this paper, we develop and present a testbed for how to approach smart maintenance technologies and to share technical knowledge to the manufacturing industry.

Place, publisher, year, edition, pages
Springer Science and Business Media Deutschland GmbH , 2024. p. 437-450
Keywords [en]
Knowledge, Smart maintenance technologies, Testbed, Augmented reality, Industry 4.0, Maintenance, 'current, Empirical findings, Maintenance technologies, Manufacturing industries, Smart maintenance technology, Testbeds
National Category
Other Engineering and Technologies
Identifiers
URN: urn:nbn:se:mdh:diva-65365DOI: 10.1007/978-3-031-39619-9_32Scopus ID: 2-s2.0-85181978943ISBN: 9783031396182 (print)OAI: oai:DiVA.org:mdh-65365DiVA, id: diva2:1828631
Conference
7th International Congress and Workshop on Industrial AI and eMaintenance, IAI 2023, Luleå, Sweden, 13 June 2023 through 15 June 2023
Available from: 2024-01-17 Created: 2024-01-17 Last updated: 2024-01-17Bibliographically approved

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Giliyana, SanBengtsson, MarcusSalonen, AnttiHedelind, Mikael

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