81 citations · 144 across the 20 of their papers we have counts for
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physics.ins-det2017★ 7 cited
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…
physics.ins-det2016★ 81 cited
Using LSTM recurrent neural networks for monitoring the LHC superconducting magnets
Maciej Wielgosz, Andrzej Skoczeń, Matej Mertik
The superconducting LHC magnets are coupled with an electronic monitoring system which records and analyses voltage time series reflecting their performance. A currently used syste…