Publisher DOI: 10.18420/BTW2023-70
Title: Predictive Maintenance for the Optical Synchronization System of the European XFEL: A Systematic Literature Survey
Language: English
Authors: Grünhagen, Arne 
Tropmann-Frick, Marina 
Eichler, Annika 
Fey, Görschwin  
Keywords: Condition monitoring; Cyber-physical systems; Fault analysis; Predictive maintenance; Systematic literature review
Issue Date: Mar-2023
Source: Database Systems for Business, Technology and Web (BTW 2023)
Abstract (english): 
The optical synchronization system of the European X-ray Free Electron Laser is a networked cyber-physical system producing a large amount of data. To maximize the availability of the optical synchronization system, we are developing a predictive maintenance module that can evaluate and predict the condition of the system. In this paper, we report on state-of-the-art predictive maintenance methods by systematically reviewing publications in this field. Guided by three research questions addressing the type of cyber-physical systems, feature extraction methods, and data analytical approaches to evaluate the current health status or to predict future system behavior, we identified 144 publications of high quality contributing to research in this area. Our result is that especially neural networks are used for many predictive maintenance tasks. This review serves as a starting point for a detailed and systematic evaluation of the different methods applied to the optical synchronization system.
Conference: Database Systems for Business, Technology and Web, BTW 2023 
ISBN: 9783885797258
Institute: Regelungstechnik E-14 
Eingebettete Systeme E-13 
Document Type: Chapter/Article (Proceedings)
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