Speaker
Antonin Sulc
(MCS (MCS Fachgruppe 4))
Description
The abundance of data currently stored for heterogeneous subsystems represents an excellent opportunity for data analysis. Data-driven approaches, relying solely on data can significantly benefit from having massive streams of data available. So far, frequently the modeling activities focused on model-based analyses which relied on human expertise. In this talk, we provide examples of activities of purely data-driven approaches for anomaly detection and modeling of the behavior of pulsed linacs like European XFEL and their subsystems that do not rely on human-expertise modeling.
Primary author
Antonin Sulc
(MCS (MCS Fachgruppe 4))
Co-authors
Annika Eichler
(MSK (Strahlkontrollen))
Tim Wilksen
(MCS (MCS Fachgruppe 1))
Raimund Kammering
(MCS (MCS Fachgruppe 1))
