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Remaining useful life estimation: Review
Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation. Luleå University of Technology, Luleå, Sweden. (IPR (Innovation and Product Realisation))ORCID iD: 0000-0002-8524-3321
Luleå University of Technology, Luleå, Sweden.
2014 (English)In: International Journal of Systems Assurance Engineering and Management, ISSN 0975-6809, E-ISSN 0976-4348, Vol. 5, no 4, 461-474 p.Article, book review (Other academic) Published
Abstract [en]

This paper reviews the recent modelling developments in estimating the remaining useful life (RUL) of industrial systems. The RUL estimation models are categorized into experimental, data driven, physics based and hybrid approaches. The paper reviews some typical approaches and discusses their advantages and disadvantages. According to the literature, the selection of the best model depends on the level of accuracy and availability of data. In cases of quick estimations which are less accurate, the data driven method is preferred, while the physics based approach is applied when the accuracy of estimation is important.

Place, publisher, year, edition, pages
2014. Vol. 5, no 4, 461-474 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:mdh:diva-26430DOI: 10.1007/s13198-013-0195-0OAI: oai:DiVA.org:mdh-26430DiVA: diva2:759874
Available from: 2014-10-31 Created: 2014-10-31 Last updated: 2017-01-03Bibliographically approved

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Ahmadzadeh, Farzaneh
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