A prototype system for intelligent accelerator operation monitoring at CSNS based on machine learning
Special Topics on Applications of Machine Learning in Nuclear Physics and Nuclear Data|更新时间:2025-05-07
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A prototype system for intelligent accelerator operation monitoring at CSNS based on machine learning
“The stable operation of China's neutron scattering source is crucial for scientific research, and traditional alarm mechanisms have limitations. Experts have developed an anomaly detection system based on machine learning to improve monitoring accuracy and troubleshooting efficiency.”
NUCLEAR TECHNIQUESArticle number: XXXXXX(2025)
作者机构:
1.中国科学院高能物理研究所 北京 100049
2.中国科学院大学 北京 100049
3.散裂中子源科学中心 东莞 523803
作者简介:
PENG Na, female, born in 1995, graduated from University of Chinese Academy of Sciences with a doctoral degree in 2023, postdoctoral researcher, focusing on nuclear technology and applications
ZHANG Yuliang, E-mail: zhangyl@ihep.ac.cn
基金信息:
National Natural Science Foundation of China(12275294)
PENG Na, ZHANG Yuliang, CHENG Sinong, et al. A prototype system for intelligent accelerator operation monitoring at CSNS based on machine learning[J/OL]. Nuclear techniques, 2025, XXXXXX