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A framework for selecting data acquisition technology in support of railway infrastructure predictive maintenance

  • The maintenance of railway infrastructure remains a challenge. Data acquisition technologies have evolved because of Industry 4.0, expanding the capabilities of predictive maintenance. Despite the advances, the potential of these emerging technologies has not been fully realised. This paper presents a technology selection framework in support of railway infrastructure predictive maintenance, which is based on qualitative methods. It consists of three stages, including the mapping of the infrastructure characteristics with the identified technologies, the evaluation of the most appropriate technologies, and the sourcing thereof. This presents the collective decision support output of the framework.

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Metadaten
Author of HS ReutlingenLucke, Dominik
URN:urn:nbn:de:bsz:rt2-opus4-33352
DOI:https://doi.org/10.1016/j.procir.2021.11.142
ISSN:2212-8271
Erschienen in:Procedia CIRP
Publisher:Elsevier
Place of publication:Amsterdam
Document Type:Journal article
Language:English
Publication year:2021
Tag:data acquisition technology; predictive maintenance; railway infrastructure; technolog selection framework
Volume:104
Issue:54th CIRP CMS 2021 – Towards Digitalized Manufacturing 4.0
Page Number:6
First Page:845
Last Page:850
DDC classes:670 Industrielle Fertigung
Open access?:Ja
Licence (German):License Logo  Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International