JACoW logo

Journals of Accelerator Conferences Website (JACoW)

JACoW is a publisher in Geneva, Switzerland that publishes the proceedings of accelerator conferences held around the world by an international collaboration of editors.

BiBTeX citation export for WEPV023: Development of a Smart Alarm System for the CEBAF Injector

  author       = {D.T. Abell and J.P. Edelen and B.G. Freeman and R. Kazimi and D.G. Moser and C. Tennant},
  title        = {{Development of a Smart Alarm System for the CEBAF Injector}},
  booktitle    = {Proc. ICALEPCS'21},
  pages        = {691--694},
  eid          = {WEPV023},
  language     = {english},
  keywords     = {operation, network, vacuum, solenoid, quadrupole},
  venue        = {Shanghai, China},
  series       = {International Conference on Accelerator and Large Experimental Physics Control Systems},
  number       = {18},
  publisher    = {JACoW Publishing, Geneva, Switzerland},
  month        = {03},
  year         = {2022},
  issn         = {2226-0358},
  isbn         = {978-3-95450-221-9},
  doi          = {10.18429/JACoW-ICALEPCS2021-WEPV023},
  url          = {https://jacow.org/icalepcs2021/papers/wepv023.pdf},
  abstract     = {{RadiaSoft and Jefferson Laboratory are working together to develop a machine-learning-based smart alarm system for the CEBAF injector. Because of the injector’s large number of parameters and possible fault scenarios, it is highly desirable to have an autonomous alarm system that can quickly identify and diagnose unusual machine states. We present our work on artificial neural networks designed to identify such undesirable machine states. In particular, we test both auto-encoders and inverse models as possible tools for differentiating between normal and abnormal states. These models are being developed using both supervised and unsupervised learning techniques, and are being trained using CEBAF injector data collected during dedicated machine studies as well as during regular operations. Lastly, we discuss tradeoffs between the two types of models.}},