Research on particle accelerator control network deformation prediction algorithm with machine learning-Reference-Cited by-同舟云学术

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Research on particle accelerator control network deformation prediction algorithm with machine learning

Published:2024-08 Issue: Volume:1065 Page:169533
ISSN:0168-9002
Container-title:Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
language:en
Short-container-title:Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment

Author:

Wu Enchen^ORCID,Lin Yiliang,Wang Wei,Zhang Qiuyu,Li Xiao,Ding Ting,Wang Xiaolong,He Xiaoye^ORCID

Funder

National Synchrotron Radiation Laboratory

Publisher

Elsevier BV

Reference34 articles.

1. Structural health monitoring of underground facilities—technological issues and challenges, tunnelling;Bhalla;Undergr. Space Technol.,2005

2. Monitoring of deformation processes in buildings and structures in metropolises;Mustafin;Transport. Geotechnics. Geoecol.,2017

3. Engineering survey planning for the alignment of a particle accelerator: Part II. Design of a reference network and measurement strategy;Leao;Meas. Sci. Technol.,2018

4. Design and construction of a multi-sensor position monitoring system applied to key components of synchrotron sources;Wang;Nucl. Sci. Tech.,2016

5. Conceptual design and theoretical analysis of a system: the reference network of alignment;Li;Nucl. Instrum. Methods Phys. Res. Sect. A Accel. Spectrom. Detect. Assoc. Equip.,2021

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