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Maintenance 4.0 Framework using Self: Adaptive Software Architecture
Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för maskinteknik (MT).ORCID-id: 0000-0001-5320-1154
Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för maskinteknik (MT). (Systemekonomi)ORCID-id: 0000-0001-8205-8289
Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).ORCID-id: 0000-0002-1162-0817
2018 (engelsk)Inngår i: Journal of Maintenance Engineering, Vol. 2, s. 280-293Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

With the recent advances of manufacturing technologies, referred to as Industry 4.0, maintenance approaches have to be developed to fulfill the new de-mands. The technological complexity associated to Industry 4.0 makes designing maintenance solutions particularly challenging. This paper proposes a novel maintenance framework leveraging principles from self-adaptation and software architecture. The framework was tested in an operational scenario where a bearing condition in an electrical motor needs to be managed, the results showed a proper operation. As a conclusion, the proposed framework could be used to develop maintenance systems for Industry 4.0.

sted, utgiver, år, opplag, sider
UK: ShieldCrest Publishing Aylesbury, Buckinghamshire , 2018. Vol. 2, s. 280-293
Emneord [en]
Maintenance 4.0, Maintenance framework, Self-adaptation, Software architecture.
HSV kategori
Forskningsprogram
Teknik, Systemekonomi
Identifikatorer
URN: urn:nbn:se:lnu:diva-77713OAI: oai:DiVA.org:lnu-77713DiVA, id: diva2:1247824
Merknad

Ej belagd 181003

Tilgjengelig fra: 2018-09-13 Laget: 2018-09-13 Sist oppdatert: 2019-05-20bibliografisk kontrollert

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Algabroun, HatemIftikhar, Muhammad UsmanAl-Najjar, BasimWeyns, Danny

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