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PUBDB-2025-01089

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Automated anomaly detection on European XFEL klystrons

Sulc, A. (Corresponding author)DESY* ; Eichler, A.XFEL.EU*DESY* ; Wilksen, T.DESY*

2024

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Please use a persistent id in citations: doi:10.3204/PUBDB-2025-01089

Report No.: arXiv:2405.12391

Abstract: High-power multi-beam klystrons represent a key component to amplify RF to generate the accelerating field of the superconducting radio frequency (SRF) cavities at European XFEL. Exchanging these high-power components takes time and effort, thus it is necessary to minimize maintenance and downtime and at the same time maximize the device's operation. In an attempt to explore the behavior of klystrons using machine learning, we completed a series of experiments on our klystrons to determine various operational modes and conduct feature extraction and dimensionality reduction to extract the most valuable information about a normal operation. To analyze recorded data we used state-of-the-art data-driven learning techniques and recognized the most promising components that might help us better understand klystron operational states and identify early on possible faults or anomalies.

Keyword(s): Accelerator Physics ; mc6-beam-instrumentation-controls-feedback-and-operational-aspects - MC6: Beam Instrumentation, Controls, Feedback, and Operational Aspects ; MC6.T22 - MC6.T22 Reliability, Operability ; klystron ; operation ; acceleration ; timing ; embedded

Note: 4 pages, 4 figures, 15, 15TH International Particle Accelerator Conference

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Contributing Institute(s):

1. Beschleunigerkontrollen (FLASH/XFEL) (MCS 4)

Research Program(s):

1. 6G13 - Accelerator of European XFEL (POF4-6G13) (POF4-6G13)

Experiment(s):

1. No specific instrument

Appears in the scientific report 2024

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Database coverage:
; ; Published

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Linked articles:

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Contribution to a conference proceedings/Contribution to a book Sulc, A. (Corresponding author)DESY* ; Eichler, A.XFEL.EU*DESY* ; Wilksen, T.DESY*
Automated anomaly detection on European XFEL klystrons
2024[Ebook] 15th International Particle Accelerator Conference, Nashville, Tennessee : May 19-24, 2024, Nashville, Tennessee, USA : proceedings / Pilat, Fulvia ; Andrian, Ivan , [Geneva] : JACoW Publishing, [2024],
The 15th International Particle Accelerator Conference, IPAC'24, NashvilleNashville, USA, 19 May 2024 - 24 May 20242024-05-192024-05-24 [Geneva] : JACoW Publishing 3575 - 3578 (2024) [10.18429/JACoW-IPAC2024-THPR36]2024     Files  Fulltext by arXiv.org BibTeX | EndNote: XML, Text | RIS

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