• Infrared Technology
  • Vol. 45, Issue 12, 1351 (2023)
Zikuo DAI1, Kejian SHI2, Shida SONG3, Yang LIU4, and Yan XU5
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
  • 4[in Chinese]
  • 5[in Chinese]
  • show less
    DOI: Cite this Article
    DAI Zikuo, SHI Kejian, SONG Shida, LIU Yang, XU Yan. Reliability Image Recognition Method for High Temperature Operation of Power Stabilizer in Medium and Low Voltage Grids Based on Infrared Imaging[J]. Infrared Technology, 2023, 45(12): 1351 Copy Citation Text show less

    Abstract

    area was calculated to determine the reliability level. The results show that only two of the five test stabilizers are in an abnormal state; specifically, component 3 of stabilizer 2 is abnormal, and component 1 of stabilizer 5 is abnormal. The relative temperature difference of component 3 of stabilizer 2 was 82.32%, and the corresponding reliability level was level 2, with low reliability; the relative temperature difference of component 1 of stabilizer 5 was 91.35%, the corresponding reliability level was level 3, and the reliability was extremely low. Comparative experimental results show that the recognition accuracy of the proposed method reaches 92.3% or higher, which is superior to that of the comparison method and has a greater application value.
    DAI Zikuo, SHI Kejian, SONG Shida, LIU Yang, XU Yan. Reliability Image Recognition Method for High Temperature Operation of Power Stabilizer in Medium and Low Voltage Grids Based on Infrared Imaging[J]. Infrared Technology, 2023, 45(12): 1351
    Download Citation