{"title":"Investigation of vacuum arc modes in 252 kV single-break vacuum interrupters based on deep learning image recognition","authors":"Siyuan Liu, Xianglai Bo, Jinchao Chen, Zhiyuan Liu, Yingsan Geng","doi":"10.1016/j.vacuum.2025.114258","DOIUrl":null,"url":null,"abstract":"<div><div>Replacing traditional SF<sub>6</sub> circuit breakers with environmentally friendly 252 kV single-break vacuum circuit breakers effectively reduce SF<sub>6</sub> greenhouse gas emissions in transmission systems. Understanding the evolution of vacuum arc modes under different conditions is crucial for analyzing 252 kV single-break vacuum interruption. This paper built a test platform using a detachable vacuum chamber and a motor-driven operating mechanism to investigate the vacuum arc modes of a 252 kV single-break vacuum interrupter with 2/3-turn coil-type axial magnetic field contacts under varying arc currents. The arc modes were classified, and a deep learning network was developed for arc mode image recognition. The results revealed the evolution characteristics of vacuum arc modes at a hundred-millimeter range contact gap and demonstrated the influence of arc current from 10 kA to 45 kA on the duration of arc modes.</div></div>","PeriodicalId":23559,"journal":{"name":"Vacuum","volume":"238 ","pages":"Article 114258"},"PeriodicalIF":3.8000,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Vacuum","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0042207X25002489","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Replacing traditional SF6 circuit breakers with environmentally friendly 252 kV single-break vacuum circuit breakers effectively reduce SF6 greenhouse gas emissions in transmission systems. Understanding the evolution of vacuum arc modes under different conditions is crucial for analyzing 252 kV single-break vacuum interruption. This paper built a test platform using a detachable vacuum chamber and a motor-driven operating mechanism to investigate the vacuum arc modes of a 252 kV single-break vacuum interrupter with 2/3-turn coil-type axial magnetic field contacts under varying arc currents. The arc modes were classified, and a deep learning network was developed for arc mode image recognition. The results revealed the evolution characteristics of vacuum arc modes at a hundred-millimeter range contact gap and demonstrated the influence of arc current from 10 kA to 45 kA on the duration of arc modes.
期刊介绍:
Vacuum is an international rapid publications journal with a focus on short communication. All papers are peer-reviewed, with the review process for short communication geared towards very fast turnaround times. The journal also published full research papers, thematic issues and selected papers from leading conferences.
A report in Vacuum should represent a major advance in an area that involves a controlled environment at pressures of one atmosphere or below.
The scope of the journal includes:
1. Vacuum; original developments in vacuum pumping and instrumentation, vacuum measurement, vacuum gas dynamics, gas-surface interactions, surface treatment for UHV applications and low outgassing, vacuum melting, sintering, and vacuum metrology. Technology and solutions for large-scale facilities (e.g., particle accelerators and fusion devices). New instrumentation ( e.g., detectors and electron microscopes).
2. Plasma science; advances in PVD, CVD, plasma-assisted CVD, ion sources, deposition processes and analysis.
3. Surface science; surface engineering, surface chemistry, surface analysis, crystal growth, ion-surface interactions and etching, nanometer-scale processing, surface modification.
4. Materials science; novel functional or structural materials. Metals, ceramics, and polymers. Experiments, simulations, and modelling for understanding structure-property relationships. Thin films and coatings. Nanostructures and ion implantation.