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Flexible Models for Smart Maintenance
Högskolan i Gävle, Akademin för teknik och miljö, Avdelningen för elektroteknik, matematik och naturvetenskap, Elektronik.
Department of Information Technology, Uppsala University, Uppsala, Sweden.
Högskolan i Gävle, Akademin för teknik och miljö, Avdelningen för elektroteknik, matematik och naturvetenskap, Elektronik.ORCID-id: 0000-0001-5429-7223
2019 (engelsk)Inngår i: Proceedings 2019 IEEE International Conference on Industrial Technology (ICIT), IEEE, 2019, s. 1772-1777Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Smart maintenance strategies are becoming increasingly important in the industry, and can contribute to environmentally and economically sustainable production. In this paper a recently developed latent variable framework for nonlinear-system identification is considered for use in smart maintenance. A model is first identified using data from a system operating under normal conditions. Then the identified model is used to detect when the system begins to deviate from normal behavior. Furthermore, for systems that operate on separate batches (units), we develop a new method that identifies individual models for each batch. This can be used both to detect anomalous batches and changes in the system behavior. Finally, the two methods are evaluated on two different industrial case studies. In the first, the purpose is to detect fouling in a heat exchanger. In the second, the goal is to detect when the tool in a wood moulder machine should be changed.

sted, utgiver, år, opplag, sider
IEEE, 2019. s. 1772-1777
Emneord [en]
Applications, Modeling, Nonlinear systems
HSV kategori
Identifikatorer
URN: urn:nbn:se:hig:diva-30445DOI: 10.1109/ICIT.2019.8754932ISI: 000490548300287Scopus ID: 2-s2.0-85069039435OAI: oai:DiVA.org:hig-30445DiVA, id: diva2:1338310
Konferanse
20th IEEE International Conference on Industrial Technology (ICIT), 13-15 February 2019, Melbourne, Australia
Ingår i projekt
Flexibla modeller för smart underhåll, Vinnova
Forskningsfinansiär
Vinnova, 2017-04807Swedish Energy AgencySwedish Research Council FormasEuropean Regional Development Fund (ERDF)Swedish Agency for Economic and Regional GrowthTilgjengelig fra: 2019-07-22 Laget: 2019-07-22 Sist oppdatert: 2019-11-27bibliografisk kontrollert

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