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Systemic predictive and prescriptive maintenance
School of Science and Technology, Örebro University, Örebro, Sweden.
Umeå University, Faculty of Science and Technology, Department of Computing Science.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 maintenance 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]
analytics, failure modes, information structures, maintainment, maintenance-in-maintenance, systemic predictive maintenance
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:umu:diva-249681DOI: 10.3390/app16021088ISI: 001670070800001Scopus ID: 2-s2.0-105028686756OAI: oai:DiVA.org:umu-249681DiVA, id: diva2:2036899
Available from: 2026-02-09 Created: 2026-02-09 Last updated: 2026-02-09Bibliographically approved

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Eklund, Patrik

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
  • html
  • text
  • asciidoc
  • rtf