no code implementations • 1 Mar 2024 • Thomas Britton, Torri Jeske, David Lawrence, Kishansingh Rajput
Hydra is a system which utilizes computer vision to perform near real time data quality management, initially developed for Hall-D in 2019.
no code implementations • 14 Feb 2024 • Kishansingh Rajput, Duong Binh Nguyen, Guoning Chen
To address that, we propose a synthesis framework to model the variation between two time-series data sequences for comparison.
no code implementations • 22 Nov 2023 • Kishansingh Rajput, Malachi Schram, Willem Blokland, Yasir Alanazi, Pradeep Ramuhalli, Alexander Zhukov, Charles Peters, Ricardo Vilalta
To avoid these faults, we apply anomaly detection techniques to predict any unusual behavior and perform preemptive actions to improve the total availability of particle accelerators.
no code implementations • 25 Sep 2023 • Kishansingh Rajput, Malachi Schram, Karthik Somayaji
Standard deep learning models for classification and regression applications are ideal for capturing complex system dynamics.
no code implementations • 5 Jul 2023 • Steven Goldenberg, Malachi Schram, Kishansingh Rajput, Thomas Britton, Chris Pappas, Dan Lu, Jared Walden, Majdi I. Radaideh, Sarah Cousineau, Sudarshan Harave
Providing accurate uncertainty estimations is essential for producing reliable machine learning models, especially in safety-critical applications such as accelerator systems.
no code implementations • 20 Apr 2023 • Yasir Alanazi, Malachi Schram, Kishansingh Rajput, Steven Goldenberg, Lasitha Vidyaratne, Chris Pappas, Majdi I. Radaideh, Dan Lu, Pradeep Ramuhalli, Sarah Cousineau
We present a multi-module framework based on Conditional Variational Autoencoder (CVAE) to detect anomalies in the power signals coming from multiple High Voltage Converter Modulators (HVCMs).
no code implementations • 22 Oct 2021 • Willem Blokland, Pradeep Ramuhalli, Charles Peters, Yigit Yucesan, Alexander Zhukov, Malachi Schram, Kishansingh Rajput, Torri Jeske
In order to improve the day-to-dayoperations and maximize the delivery of the science, new analytical techniques are being exploredfor anomaly detection, classification, and prognostications.