TY  - JOUR
U1  - Zeitschriftenartikel, wissenschaftlich - begutachtet (reviewed)
A1  - van Schalkwyk, Johannes
A1  - Jooste, Johannes
A1  - Lucke, Dominik
T1  - A framework for selecting data acquisition technology in support of railway infrastructure predictive maintenance
JF  - Procedia CIRP
N2  - 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.
KW  - railway infrastructure
KW  - predictive maintenance
KW  - data acquisition technology
KW  - technolog selection framework
Y1  - 2021
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:rt2-opus4-33352
SN  - 2212-8271
SS  - 2212-8271
U6  - https://doi.org/10.1016/j.procir.2021.11.142
DO  - https://doi.org/10.1016/j.procir.2021.11.142
VL  - 104
IS  - 54th CIRP CMS 2021 – Towards Digitalized Manufacturing 4.0
SP  - 845
EP  - 850
S1  - 6
PB  - Elsevier
CY  - Amsterdam
ER  -