Author: Yucesan, Y.A.
Paper Title Page
Machine Learning for Improved Accelerator Health and Reliability  
  • Y.A. Yucesan
    ORNL RAD, Oak Ridge, Tennessee, USA
  This talk will summarize the effort by the community in using machine learning for improved accelerator operations. This talk will also discuss efforts to implement a machine learning framework to improve accelerator reliability at the Spallation Neutron Source. It will describe new prognostics algorithms for detecting beam faults, classification of the fault sources, and efforts to integrate the algorithms into operations. it will also describe additional efforts to utilize ML for health and predictive prognostics on critical accelerator hardware and targets.  
slides icon Slides THXD1 [9.659 MB]  
Cite • reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)