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RIS citation export for TUPDP117: Classification and Prediction of Superconducting Magnet Quenches

TY  - CONF
AU  - Einstein-Curtis, J.A.
AU  - Drees, K.A.
AU  - Edelen, J.P.
AU  - Kilpatrick, M.C.
AU  - Laster, J.S.
AU  - O’Rourke, R.
AU  - Valette, M.
ED  - Schaa, Volker RW
ED  - Götz, Andy
ED  - Venter, Johan
ED  - White, Karen
ED  - Robichon, Marie
ED  - Rowland, Vivienne
TI  - Classification and Prediction of Superconducting Magnet Quenches
J2  - Proc. of ICALEPCS2023, Cape Town, South Africa, 09-13 October 2023
CY  - Cape Town, South Africa
T2  - International Conference on Accelerator and Large Experimental Physics Control Systems
T3  - 19
LA  - english
AB  - Robust and reliable quench detection for superconducting magnets is increasingly important as facilities push the boundaries of intensity and operational runtime. RadiaSoft has been working with Brookhaven National Lab on quench detection and prediction for superconducting magnets installed in the RHIC storage rings. This project has analyzed several years of power supply and beam position monitor data to train automated classification tools and automated quench precursor determination based on input sequences. Classification was performed using supervised multilayer perceptron and boosted decision tree architectures, while models of the expected operation of the ring were developed using a variety of autoencoder architectures. We have continued efforts to maximize area under the receiver operating characteristic curve for the multiple classification problem of real quench, fake quench, and no-quench events. We have also begun work on long short-term memory (LSTM) and other recurrent architectures for quench prediction. Examinations of future work utilizing more robust architectures, such as variational autoencoders and Siamese models, as well as methods necessary for uncertainty quantification will be discussed. 
PB  - JACoW Publishing
CP  - Geneva, Switzerland
SP  - 856
EP  - 859
KW  - power-supply
KW  - superconducting-magnet
KW  - GUI
KW  - operation
KW  - experiment
DA  - 2024/02
PY  - 2024
SN  - 2226-0358
SN  - 978-3-95450-238-7
DO  - doi:10.18429/JACoW-ICALEPCS2023-TUPDP117
UR  - https://jacow.org/icalepcs2023/papers/tupdp117.pdf
ER  -