81 citations · 111 across the 7 of their papers we have counts for
3 papers · 1 filter
The model of an anomaly detector for HiLumi LHC magnets based on Recurrent Neural Networks and adaptive quantization
Maciej Wielgosz, Matej Mertik, Andrzej Skoczeń +1
This paper focuses on an examination of an applicability of Recurrent Neural Network models for detecting anomalous behavior of the CERN superconducting magnets. In order to conduc…
A Conceptual Framework for Supporting a Rapid Design of Web Applications for Data Analysis of Electrical Quality Assurance Data for the LHC
Matej Mertik, Maciej Wielgosz
The Large Hadron Collider (LHC) is one of the most complex machines ever build. It is composed of many components which constitute a large system. The tunnel and the accelerator is…
Recurrent Neural Networks for anomaly detection in the Post-Mortem time series of LHC superconducting magnets
Maciej Wielgosz, Andrzej Skoczeń, Matej Mertik
This paper presents a model based on Deep Learning algorithms of LSTM and GRU for facilitating an anomaly detection in Large Hadron Collider superconducting magnets. We used high r…