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Title CEBAF C100 fault classification based on time domain RF signals
Authors Thomas Powers, Anna Shablina
JLAB number JLAB-ACC-19-3044
LANL number (None)
Other number DOE/OR/23177-4839
Document Type(s) (Meeting) 
Category: SRF Technology
Associated with EIC: No
Supported by Jefferson Lab LDRD Funding: No
Funding Source: Nuclear Physics (NP)
 

Meeting
Invited Talk Paper compiled for SRF 2019 (19th International Conference on RF Superconductivity)

Proceedings
Proceedings of SRF 2019
Edited By Peter Michel, André Arnold, Volker RW Schaa
JACOW (2019)
Page(s) 763
Publication Abstract: The CEBAF 12 GeV upgrade project, which was completed and commissioned in 2014, included the construction and installation of 80 7-cell superconducting cavities that were configured in 10 cryomodules. In 2018, the software and hardware in the digital low-level RF systems was configured such that a fault would trigger an acquisition process to record 17 RF waveform signals for each of the 8 cavities within the cryomodule for subsequent analysis. This contribution will describe the types of faults encountered during operation and their signatures in the time domain data, as well as how it is being used to modify the setup of the machine and implement improvements to the cryomodules.
Experiment Numbers: other
Group: Operations Support
Document: PDF
DOI: https://doi.org/10.18429/JACoW-SRF2019-WETEB3
Accepted Manuscript: weteb3.pdf
Supporting Documents:
SRF2019 WEBET3_Talk Fault Classificiation Powers.pdfInvited talk slides (Supporting)
Supporting Datasets: