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Simultaneous Detection of Fault Gases from Electrical Equipment Based on TDLAS Technology

  • Xiaoyu Luo,
  • Lili Lv,
  • Zhi Zhang,
  • Xin Zhou,
  • Yulong Li,
  • Jiang Wen

摘要

As a core device of the power system, the transformer with latent internal faults such as local overheating and partial discharge may cause serious consequences, and the dissolved gas analysis (DGA) technology for detecting gases dissolved in oil is a key means to achieve early fault warning and location diagnosis. To improve the detection speed and efficiency of DGA technology, this paper proposes a simultaneous detection method for multi-gas components based on TDLAS technology, deeply analyzes the infrared spectral characteristics and detection bands of CH4 and CO2, realizes the high-efficiency coupling of laser light sources through a fiber combiner, proposes a time-division multiplexing time-sharing driving technology, and uses the wavelength modulation-second harmonic detection method to achieve high-precision detection of CH4 and CO2, with the linear fitting degrees R2 reaching 0.991 (CH4) and 0.992 (CO2) respectively, and the maximum relative errors being 0.65% and 0.647%. This method provides a reliable detection scheme for the efficient detection of dissolved gases in oil.