639 / 2022-03-30 22:49:19
Detection of the Aging State of Insulating Paperboard based on Terahertz Technology
terahertz,oil-paper insulation,aging,Non-Destructive Test
摘要录用
Yuxin He / Chongqing;State Key Laboratory of Power Transmission Equipment & System Security and New Technology
Hua Yu / State Grid Shanxi Electric Power CO. Electric Power Research Institute
Lijun Yang / China; Chongqing; 400044;?State Key Laboratory of Power Transmission Equipment & System Security and New Technology ? Chongqing University
Qiyu Chen / State Key Laboratory of Power Transmission Equipment & System Security and New Technology
Evaluation of the aging state of oil-paper insulation is an important method to prevent failure of oil-paper insulation. The traditional evaluation method needs to measure the degree of polymerization (DP), which is time-consuming and damages the samples. It is a research hotspot to explore a method for rapid non-destructive testing of the aging state of insulating paper. In this paper, oil-impregnated paperboards with different aging degrees were prepared by accelerated thermal aging. The terahertz time-frequency spectra of different oil-impregnated paperboards were measured by terahertz time-domain spectroscopy, and the spectrum collection range was 0.3~2.0THz. Based on the experimental spectral characteristics, the spectral characteristic peaks were extracted by the Gaussian function, and the relationship between the characteristic peak area and the aging of the oil-impregnated paperboard was studied. It was found that there is a significant semi-logarithmic linear function relationship between the 1THz peak area and DP of oil-impregnated paperboard, and the Pearson correlation coefficient is 0.97.  This relationship can be used to predict the DP of oil-paper insulation. The research results of this paper provide a new idea for the non-destructive evaluation of the aging state of oil-paper insulation using terahertz technology.



 
重要日期
  • 会议日期

    09月25日

    2022

    09月29日

    2022

  • 08月15日 2022

    提前注册日期

  • 09月10日 2022

    报告提交截止日期

  • 11月10日 2022

    注册截止日期

  • 11月30日 2022

    初稿截稿日期

  • 11月30日 2022

    终稿截稿日期

主办单位
IEEE DEIS
承办单位
Chongqing University
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