JACoW is a publisher in Geneva, Switzerland that publishes the proceedings of accelerator conferences held around the world by an international collaboration of editors.
TY - CONF AU - Edelen, J.P. AU - Diaz Cruz, J.A. AU - Edelen, A.L. AU - Einstein-Curtis, J.A. AU - Henderson, M.J. AU - Kilpatrick, M.C. ED - Schaa, Volker RW ED - Götz, Andy ED - Venter, Johan ED - White, Karen ED - Robichon, Marie ED - Rowland, Vivienne TI - Machine Learning for Compact Industrial Accelerators 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 - The industrial and medical accelerator industry is an ever-growing field with advancements in accelerator technology enabling its adoption for new applications. As the complexity of industrial accelerators grows so does the need for more sophisticated control systems to regulate their operation. Moreover, the environment for industrial and medical accelerators is often harsh and noisy as opposed to the more controlled environment of a laboratory-based machine. This environment makes control more challenging. Additionally, instrumentation for industrial accelerators is limited making it difficult at times to identify and diagnose problems when they occur. RadiaSoft has partnered with SLAC to develop new machine learning methods for control and anomaly detection for industrial accelerators. Our approach is to develop our methods using simulation models followed by testing on experimental systems. Here we present initial results using simulations of a room temperature s-band system. PB - JACoW Publishing CP - Geneva, Switzerland SP - 846 EP - 850 KW - cavity KW - controls KW - simulation KW - industrial-accelerators KW - network DA - 2024/02 PY - 2024 SN - 2226-0358 SN - 978-3-95450-238-7 DO - doi:10.18429/JACoW-ICALEPCS2023-TUPDP115 UR - https://jacow.org/icalepcs2023/papers/tupdp115.pdf ER -