Mar 5 – 8, 2024
Lahan Select Gyeongju, South Korea
Asia/Seoul timezone

Predicting preventable (slow) trips at NSLS-II

Mar 7, 2024, 9:20 AM
20m
Lahan Select Gyeongju, South Korea

Lahan Select Gyeongju, South Korea

Lahan Select Gyeongju, South Korea
Oral (16mins + 4 mins) Anomaly Detection / Failure Prediction Anomaly Detection / Failure Prediction

Speaker

Reid Smith (BNL)

Description

NSLS-II has been working with SLAC and Argonne on ML applications for improving accelerator reliability; specifically in predicting preventable (slow) trips & in using anomaly detection to identify most likely trip-causes to reduce recovery time. We are several years into the project, and already have positive results in the ‘trip prevention’ application.

Primary Keyword anomaly detection

Primary author

Reid Smith (BNL)

Presentation materials