Kiyoki, Y. (Editor) ; Sornlertlamvanich, V. (Editor) ; Tropmann-Frick, M. (Editor) ; Jaakkola, H. (Editor) ; Yoshida, N. (Editor) ; Grünhagen, A. ; Eichler, A. ; Tropmann-Frick, M. ; Fey, G.

2025
IOS Press Amsterdam

2025Information Modelling and Knowledge Bases XXXVI / Kiyoki, Yasushi (Editor) ; : IOS Press, , ; ISSN: 09226389=18798314 ; ISBN: 9781643685724 ; doi:10.3233/FAIA241577 Amsterdam : IOS Press, Frontiers in Artificial Intelligence and Applications 128-145 (2025) [10.3233/FAIA241577]2025  

Abstract: The early and automatic detection of faulty behavior is essential for maintaining the reliability of a cyber-physical system. In this paper we describe a fault localization approach for such a highly complex distributed system, the optical synchronization system of the European X-ray free-electron laser. Using a dependency graph, we model the relationships between the components and the influences of environmental effects. After we first resolve linear long-term dependencies between dependent components with a correlation analysis, we then use an unsupervised fault detection pipeline consisting of statistical feature extraction and unsupervised anomaly detection to accurately identify anomalies and localize their origins in the system.

1. HIDSS-0002 - DASHH: Data Science in Hamburg - Helmholtz Graduate School for the Structure of Matter (2019_IVF-HIDSS-0002) (2019_IVF-HIDSS-0002)