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REVIEW article

Front. Phys.
Sec. Optics and Photonics
Volume 13 - 2025 | doi: 10.3389/fphy.2025.1547563
This article is part of the Research Topic Acquisition and Application of Multimodal Sensing Information - Volume II View all 6 articles

A review of optical gas sensing technology for dissolved gas analysis in transformer oil

Provisionally accepted
Jialiang Dai Jialiang Dai 1,2Bing Luo Bing Luo 2Xiaowen Shen Xiaowen Shen 1,2Wenfei Han Wenfei Han 1,2Ruyue Cui Ruyue Cui 1,2Jintao Wu Jintao Wu 1,2Haofeng Zhang Haofeng Zhang 2Wei Xiao Wei Xiao 2Zheng Zhong Zheng Zhong 2Lei Dong Lei Dong 1,2*Hongpeng Wu Hongpeng Wu 1,2*
  • 1 Shanxi University, Taiyuan, China
  • 2 Electric Power Research Institute of China South Power Grid, Guangzhou, China

The final, formatted version of the article will be published soon.

    Dissolved gas analysis (DGA) of transformer oil can deeply understand the operation status of oilimmersed transformers, and detect early transformer failures as early as possible, thus achieving the purpose of preventing further damage to the transformer. It is a highly reliable method for identifying early-stage faults in transformers. This paper reviews the commonly used sensing technologies for analyzing dissolved gases in transformer oil, including Raman spectroscopy (RS), fourier transform infrared spectroscopy (FTIR), tunable diode laser absorption spectroscopy (TDLAS) and photoacoustic spectroscopy (PAS). The progress of research on these four gas sensing technologies is reviewed, with a detailed analysis of their respective principles and characteristics. This work provides guidance for the selection of appropriate online gas preliminary sensing technology, which is essential for the assessment of transformer operating conditions to ensure the stable operation of power systems.

    Keywords: DGA, transformer oil, RS, FTIR, TDLAS, PAS, Gas sensing

    Received: 18 Dec 2024; Accepted: 07 Jan 2025.

    Copyright: © 2025 Dai, Luo, Shen, Han, Cui, Wu, Zhang, Xiao, Zhong, Dong and Wu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Lei Dong, Shanxi University, Taiyuan, China
    Hongpeng Wu, Shanxi University, Taiyuan, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.