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Research On Intelligent Detection of Sulfur Hexafluoride Gas Leakage in Confined Spaces

  • Jing Huang
  • , Bangfa Chen
  • , Sixiang Chen
  • , Guangyu Xiao
  • , Jing Yan
  • , Zhenxing Wang
  • Guangdong Power Gird
  • Xi'an Jiaotong University

科研成果: 书/报告/会议事项章节会议稿件同行评审

9 引用 (Scopus)

摘要

SF6 gas has excellent electronegativity, so it is widely used in electrical insulation, but SF6 gas can cause serious safety hazards due to leakage, so timely detection of leaking gas is of great significance to the safe operation of power equipment. Nowadays, the efficiency of SF6 gas leakage detection is low, especially in complex environments where it is difficult to perform real-time detection. Therefore, this paper proposes an intelligent SF6 gas detection method based on image recognition, and compares it with other 2 mainstream detection models. The results show that the detection accuracy of this method is better than that of GMM and Faster R-CNN models, and the detection accuracy can reach more than 88%.

源语言英语
主期刊名ICEPE-ST 2022 - 2022 6th International Conference on Electric Power Equipment - Switching Technology
出版商Institute of Electrical and Electronics Engineers Inc.
18-22
页数5
ISBN(电子版)9781665448673
DOI
出版状态已出版 - 2022
活动6th International Conference on Electric Power Equipment - Switching Technology, ICEPE-ST 2022 - Seoul, 韩国
期限: 15 3月 202218 3月 2022

出版系列

姓名ICEPE-ST 2022 - 2022 6th International Conference on Electric Power Equipment - Switching Technology

会议

会议6th International Conference on Electric Power Equipment - Switching Technology, ICEPE-ST 2022
国家/地区韩国
Seoul
时期15/03/2218/03/22

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