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.
| Author of HS Reutlingen | Lucke, 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): |  Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International |
