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Systemic Predictive and Prescriptive Maintenance
Örebro University, School of Science and Technology. (Mechanical Engineering, Digitalized Product and Production Development)ORCID iD: 0000-0002-2014-1308
Department of Computing Science, Umeå University, Umeå, Sweden. (Logic and applications)ORCID iD: 0000-0003-3965-2834
2026 (English)In: Applied Sciences, E-ISSN 2076-3417, Vol. 16, no 2, article id 1088Article in journal (Refereed) Published
Abstract [en]

In this paper we introduce a systemic approach for predictive and prescriptive mainte-nance framed within the larger system of systems, as exemplified by a use case in mining. Developments are presented as systematic, while there is a focus on improved availability modeling using the time usage model with a corresponding UML/SysML StateMachine representation. Data becomes connected with a more elaborated definition of time, with failure modes and analytics in reliability engineering being supported by improved underlying information structures.

Place, publisher, year, edition, pages
MDPI, 2026. Vol. 16, no 2, article id 1088
Keywords [en]
systemic predictive maintenance, information structures, failure modes, analytics, maintainment, maintenance-in-maintenance
National Category
Reliability and Maintenance Mechanical Engineering
Research subject
Mechanical Engineering
Identifiers
URN: urn:nbn:se:oru:diva-126410DOI: 10.3390/app16021088ISI: 001670070800001OAI: oai:DiVA.org:oru-126410DiVA, id: diva2:2029673
Available from: 2026-01-19 Created: 2026-01-19 Last updated: 2026-02-05Bibliographically approved

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Löfstrand, Magnus

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