Interpretable Fault Prediction for CERN Energy Frontier Colliders (2024)
Abstract / truncated to 115 words
The Large Hadron Collider (LHC) is the world’s highest energy particle collider, which has already delivered data for numerous physical discoveries. To continue this quest for discovering new physics, the Compact Linear Collider (CLIC) and the Future Circular Collider (FCC) aim to push the boundaries of fundamental physics at high collision energies. However, as their power, size, and complexity increases, so does the risk of failures and their associated downtime. Fault prediction is a way to minimize downtime by fixing faults in scheduled maintenance intervals before they occur. In the LHC, such fault prediction methods have been supporting system experts to decrease downtime since its start in 2008/9. There are many different scenarios of faults. ...
fault prediction – machine learning – CERN – particle colliders – explainable ai
Information
- Author
- Christoph Obermair
- Institution
- CERN, Graz University of Technology
- Supervisors
- Publication Year
- 2024
- Upload Date
- Sept. 10, 2025
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