High Power Laser and Particle Beams, Volume. 37, Issue 7, 074003(2025)

Application of machine learning in BEPCII superconduction radio-frequency cavity fault analysis

Tongke Zeng1,2 and Jianping Dai1、*
Author Affiliations
  • 1Institute of High Energy Physics, Chinese Academy of sciences, Beijing 100049, China
  • 2University of Chinese Academy of Sciences, Beijing 100049, China
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    References(16)

    [1] Wang Guangwei, Sha Peng, Pan Weimin. Construction of the BEPCII RF system[J]. Chinese Physics C, 169-171(2008).

    [2] [2] Solopova A, Carpenter A, Powers T, et al. SRF cavity fault classification using machine learning at CEBAF[R]. Newpt News: Thomas Jefferson National Accelerat Facility (TJNAF), 2019.

    [5] [5] Rahman M M, Iftekharuddin K, Carptenter A, et al. Realtime cavity fault prediction in CEBAF using deep learning[C]Proceedings of the Nth American Particle Accelerat Conference. 2022: 687690.

    [7] [7] Han Xiaowei. Study on key technologies of col image processing[D]. Shenyang: Ntheastern University, 2005

    [8] Dai Congcong, Luo Xiaoyan, Shao Fan. Study on extraction method of rock acoustic emission signals based on CEEMDAN and AR model[J]. Industrial Minerals & Processing, 47, 20-24(2018).

    [9] Das K, Behera R N. A survey on machine learning: concept, algorithms and applications[J]. International Journal of Innovative Research in Computer and Communication Engineering, 5, 1301-1309(2017).

    [10] Li Xiaobin, Li Shiyin. AdBagging: adaptive sampling parameters online bagging algorithm[J]. Computer Engineering and Design, 32, 4095-4099(2011).

    [11] Kong Yinghui, Che Linlin, Yuan Jinsha. A power quality disturbance identification method based on wavelet decomposition and decision tree algorithm in data mining[J]. Power System Technology, 31, 78-82(2007).

    [12] Sun Jigui, Liu Jie, Zhao Lianyu. Clustering algorithms research[J]. High Power Laser and Particle Beams, 19, 48-61(2008).

    [13] Zhang Ning, Jia Ziyan, Shi Zhongzhi. Text categorization with KNN algorithm[J]. Computer Engineering, 31, 171-172,185(2005).

    [14] [14] James G, Witten D, Hastie T, et al. An introduction to statistical learning[M]. New Yk: Springer, 2013: 180182.

    [16] [16] Veropoulos K, Campbell I C G, Cristianini N. Controlling the sensitivity of suppt vect machines[C]Proceedings of the International Joint Conference on AI. 1999: 5560.

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    Tongke Zeng, Jianping Dai. Application of machine learning in BEPCII superconduction radio-frequency cavity fault analysis[J]. High Power Laser and Particle Beams, 2025, 37(7): 074003

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    Paper Information

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    Received: Aug. 20, 2024

    Accepted: May. 14, 2025

    Published Online: Jul. 18, 2025

    The Author Email: Jianping Dai (jpdai@ihep.ac.cn)

    DOI:10.11884/HPLPB202537.240270

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