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| URL | https://doi.org/10.18429/JACoW-ICALEPCS2025-MOBR001 |
|---|---|
| Title | Development of a digital twin towards enhanced monitoring of the SF6 subsystem on the Z Machine |
| Authors |
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| Abstract | In this work, we develop a digital twin (DTW) of the Sulfur Hexafluoride (SF6) subsystem on the Z Machine at Sandia National Laboratories. The Z Machine is a premier pulsed power research facility for studying high energy density science, to which SF6 serves as an insulating gas. A DTW can dynamically update alongside its physical counterpart using real-time data, providing a precise estimate of the system’s internal state which can augment monitoring processes. Thus, partially motivating the development of this DTW is a desire for online leak detection, as SF6 emissions are regulated and reportable. The DTW discussed in this work supports real-time, online IO and interaction with the SF6 control system; it has been incorporated as the plant model in a state observer, using online telemetry to synchronize the DTW’s state with that of the physical system in a software in the loop framework. We discuss future enhancements to the digital twin aimed at minimizing SF6 loss, including leak detection, leak localization, and leak isolation algorithms, as well as potential predictive maintenance strategies. |
| Paper | download: MOBR001.pdf |
| Cite | BibTeX, LaTeX, Text/Word, RIS, EndNote |
| Conference | 20th Int. Conf. Accel. Large Exp. Phys. Control Syst. (ICALEPCS'25) |
| Series | |
| Location | Chicago, IL, USA |
| Date | 20-26 Sep 2025 |
| Publisher | JACoW Publishing, Geneva, Switzerland |
| Editorial Board | Kent Wootton (ANL), Jeffery Biss (FNAL), Gustavo Bruno (ANL), Jeff Kirchman (ANL), Kelly Jaje (ANL), Denise Skiadopoulos (ANL), SuYin Grass Wang (ANL) |
| Online ISBN | 978-3-95450-255-4 |
| Online ISSN | 2226-0358 |
| Received | 04 September 2025 |
| Revised | 25 September 2025 |
| Accepted | 27 October 2025 |
| Issued | 25 November 2025 |
| DOI | 10.18429/JACoW-ICALEPCS2025-MOBR001 |
| Pages | 48-55 |
| Copyright | Published by JACoW Publishing under the terms of the Creative Commons Attribution 4.0 license. Any further distribution of this work must maintain attribution to the author(s), the published article's title, publisher, and DOI. |