SMART-OPS: Self-learning Machine intelligence for Accelerator Reliability, Trip Optimization, and Performance Stabilization

Oak Ridge National Laboratory is developing an artificial intelligence-powered beam stabilization and trip mitigation system, SMART-OPS, to improve efficiency and reliability of particle generation and acceleration for accelerator-driven subcritical systems. SMART-OPS will leverage knowledge-informed machine learning algorithms that utilize underlying physics of the accelerator to predict and mitigate beam trips in real time, significantly enhancing the reliability and efficiency of the beam line. By continuously analyzing data from various accelerator components in real-time, SMART-OPS will anticipate potential instabilities and take proactive measures to prevent beam trips.