University of Twente Student Theses
4.0 Engineering and Human Values : Managing inductive risk in the Use of Big Data Analytics for the Predictive Maintenance of Railway Systems
Muñoz, Pablo (2022) 4.0 Engineering and Human Values : Managing inductive risk in the Use of Big Data Analytics for the Predictive Maintenance of Railway Systems.
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| Abstract: | This thesis studies the use of Big Data Analytics technologies, specifically deep learning (DL) models, for the predictive maintenance (PdM) of railway systems. It addresses how inductive risk arises in this use. In the first place, it discusses theoretically how inductive risk arises in these maintenance practices and how the use of DL models mediates the management of this risk at the different stages of these practices by transforming the inspection activities of them. In the second place, it makes a two cases study where two specific DL solutions for these activities are assessed, compared, and contrasted according to the concepts of the theoretical discussion. The main goals of this thesis are (1) to use the philosophical framework of the inductive risk that exists in the societal applications of DL for analysing the inductive risk that appears at the railway systems PdM that use DL models; to analyse the technical literature of the two concrete solutions based on the previous theoretical analysis to determine how technological decisions configure the philosophical problem of inductive risk. |
| Item Type: | Essay (Master) |
| Faculty: | BMS: Behavioural, Management and Social Sciences |
| Subject: | 08 philosophy |
| Programme: | Philosophy of Science, Technology and Society MSc (60024) |
| Link to this item: | https://purl.utwente.nl/essays/92744 |
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