An improved deep learning-based algorithm for 3D reconstruction of vacuum arcs
Author:
Affiliation:
1. State Key Laboratory of Electrical Insulation and Power Equipment, Xi’an Jiaotong University, Xi’an 710049, China
Funder
National Natural Science Foundation of China
Publisher
AIP Publishing
Subject
Instrumentation
Link
https://aip.scitation.org/doi/pdf/10.1063/5.0073209
Reference33 articles.
1. Spectroscopic Investigation of a Cu—Cr Vacuum Arc
2. Optical absorption spectroscopy of metallic (Cr) vapor in a vacuum arc
3. Two-Dimensional Observation of Copper Atoms After Forced Extinction of Vacuum Arcs by Laser-Induced Fluorescence
4. Spectroscopic study of vacuum arc plasma expansion
5. Measurement of cathode surface temperature using the method of CCD imaging in arc discharge
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1. Estimation of planar angles from non-orthogonal imaging;Review of Scientific Instruments;2024-01-01
2. Spatiotemporal evolution of excitation temperature of vacuum arcs by tomography;Journal of Vacuum Science & Technology A;2023-08-22
3. Plasma Expansion Characterization of a Vacuum Arc Thruster with Stereo Imaging;Applied Sciences;2023-02-21
4. Three-dimensional reconstruction of the excitation temperature of copper atoms in vacuum arcs;2022 6th International Conference on Electric Power Equipment - Switching Technology (ICEPE-ST);2022-03-15
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