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A primer on predictive maintenance: Potential benefits and practical challenges
Hviid Hansen, Henrik
Ørsted A/S, Bioenergy & Thermal Power, Copenhagen, Denmark; Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark.
Külahci, Murat
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
Friis Nielsen, Bo
Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark.
2024 (English)
In:
Quality Engineering, ISSN 0898-2112, E-ISSN 1532-4222, Vol. 36, no 3, p. 638-649
Article in journal (Refereed) Published
Place, publisher, year, edition, pages
Taylor and Francis Ltd. , 2024. Vol. 36, no 3, p. 638-649
National Category
Reliability and Maintenance
Research subject
Quality Technology and Logistics
Identifiers
URN:
urn:nbn:se:ltu:diva-105016
DOI:
10.1080/08982112.2024.2331140
ISI:
001190577100001
Scopus ID:
2-s2.0-85189210018
OAI: oai:DiVA.org:ltu-105016
DiVA, id:
diva2:1849449
Note
Validerad;2024;Nivå 2;2024-07-01 (joosat);
Available from:
2024-04-08
Created:
2024-04-08
Last updated:
2024-07-01
Bibliographically approved
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modern-language-association-8th-edition
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