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A primer on predictive maintenance: Potential benefits and practical challenges
Ørsted A/S, Bioenergy & Thermal Power, Copenhagen, Denmark; Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark.
Luleå University of Technology, Department of Social Sciences, Technology and Arts, Business Administration and Industrial Engineering. Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark.ORCID iD: 0000-0003-4222-9631
Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark.
2024 (English)In: Quality Engineering, ISSN 0898-2112, E-ISSN 1532-4222Article in journal (Refereed) Epub ahead of print
Place, publisher, year, edition, pages
Taylor and Francis Ltd. , 2024.
National Category
Reliability and Maintenance
Research subject
Quality Technology and Logistics
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URN: urn:nbn:se:ltu:diva-105016DOI: 10.1080/08982112.2024.2331140ISI: 001190577100001Scopus ID: 2-s2.0-85189210018OAI: oai:DiVA.org:ltu-105016DiVA, id: diva2:1849449
Available from: 2024-04-08 Created: 2024-04-08 Last updated: 2024-04-08

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Külahci, Murat

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