Home Journals Articles Updates About
CN
image
收藏切换
Infrared spectrum analysis of dissolved gas in transformer oil based on single chamber vacuum degassing
收藏切换
PDF
Shuangzan REN1, Xiaolin YE2, Yezheng SUN3, Xiaojun TANG3, Lei XIN1, Hao WU1, Hongmei ZHU1
Insulating Materials | 2023, 56(7) : 109 - 113
Less
收藏切换
Insulating Materials | 2023, 56(7): 109-113
• Test and Analysis •
Infrared spectrum analysis of dissolved gas in transformer oil based on single chamber vacuum degassing
Full
Shuangzan REN1, Xiaolin YE2, Yezheng SUN3, Xiaojun TANG3, Lei XIN1, Hao WU1, Hongmei ZHU1
Affiliations
  • 1Electric Power Research Institute of State Grid Shaanxi Electric Power Company, Xi′an 710100, China
  • 2Super High Voltage Company of State Grid Shaanxi Electric Power Company, Xi′an 710100, China
  • 3State Key Laboratory of Electrical Insulation and Power Equipment, Xi′an Jiaotong University, Xi′an 710049, China
Published: 2023-07-20 doi: 10.16790/j.cnki.1009-9239.im.2023.07.017
Outline
收藏切换

The dissolved gas monitoring method in oil is an important method for transformer fault diagnosis and operational status evaluation. A spectral analysis method of gas in transformer oil based on single gas chamber vacuum degassing was presented in this paper, and the principle and structure of the dissolved gas monitoring device in transformer oil based on this method were introduced. Due to the different temperature and pressure in the gas chamber during each detection, temperature and pressure compensation experiments were required, which verified the effectiveness of the temperature and pressure compensation method. Finally, the mixed gas was analyzed quantitatively by the designed device. The results show that the spectral analysis method of gas in oil based on single chamber vacuum degassing designed in this paper has a good effect, which verifies the feasibility of the design scheme. Compared with the common infrared spectroscopy methods for monitoring gas content, this scheme does not require nitrogen as the background gas, reducing the operating costs and improving the automation level of device.

infrared spectroscopy  /  spectral analysis  /  dissolved gas in transformer oil  /  online monitoring
Shuangzan REN, Xiaolin YE, Yezheng SUN, Xiaojun TANG, Lei XIN, Hao WU, Hongmei ZHU. Infrared spectrum analysis of dissolved gas in transformer oil based on single chamber vacuum degassing[J]. Insulating Materials, 2023 , 56 (7) : 109 -113 . DOI: 10.16790/j.cnki.1009-9239.im.2023.07.017
Appendix
Less
Year 2023 volume 56 Issue 7
PDF
121
52
Cite this Article
BibTeX
Article Info
doi: 10.16790/j.cnki.1009-9239.im.2023.07.017
  • Receive Date：2022-08-23
  • Online Date：2025-11-24
  • Published：2023-07-20
Article Data
Affiliations
History
  • Received：2022-08-23
  • Revised：2022-10-08
Funding
Affiliations
    1Electric Power Research Institute of State Grid Shaanxi Electric Power Company, Xi′an 710100, China
    2Super High Voltage Company of State Grid Shaanxi Electric Power Company, Xi′an 710100, China
    3State Key Laboratory of Electrical Insulation and Power Equipment, Xi′an Jiaotong University, Xi′an 710049, China
References
Share
https://castjournals.cast.org.cn/joweb/jycl/EN/10.16790/j.cnki.1009-9239.im.2023.07.017
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT
Links
Articles
Latest Articles
Most Read
Collections
Updates
Events
News
Multimedia
About
About Us
Contact
No. 86 Xueyuan South Road, Haidian District, Beijing
100081
010-62199257
qkjq@cast.org.cn

Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House