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Detection of Cellulose Particles in Transformer Oil Based on Transport of Intensity Equation

Author

Listed:
  • Hao Pan

    (College of Electronics and Information Engineering, Shanghai University of Electric Power, Shanghai 200090, China)

  • Liang Xue

    (College of Electronics and Information Engineering, Shanghai University of Electric Power, Shanghai 200090, China)

  • Chuankai Yang

    (State Grid Shaanxi Electric Power Research Institute, Xi’an 710054, China)

  • Fenghong Chu

    (College of Electronics and Information Engineering, Shanghai University of Electric Power, Shanghai 200090, China)

  • Youhua Jiang

    (College of Electronics and Information Engineering, Shanghai University of Electric Power, Shanghai 200090, China)

  • Hongmei Zhu

    (State Grid Shaanxi Electric Power Research Institute, Xi’an 710054, China)

  • Yue Li

    (State Grid Shaanxi Electric Power Research Institute, Xi’an 710054, China)

  • Lei Xin

    (State Grid Shaanxi Electric Power Research Institute, Xi’an 710054, China)

Abstract

Cellulose particles are among the aging products of the insulating paper that are used in power transformers. Too many cellulose particles can cause transformer accidents. Traditional research and detection methods that are used for this problem generally focus on the number and length information of cellulose particles, and it is usually difficult to quantitatively describe the spatial shape of cellulose particles. However, the shape of cellulose particles is also one of the factors affecting the safety of transformer insulation. In this paper, we successfully extracted quantitative information of the spatial shape of cellulose particles in transformer oil using an image processing technique and the transport of intensity equation, providing a new novel approach for the study and detection of the shape of cellulose particles in transformer oil.

Suggested Citation

  • Hao Pan & Liang Xue & Chuankai Yang & Fenghong Chu & Youhua Jiang & Hongmei Zhu & Yue Li & Lei Xin, 2022. "Detection of Cellulose Particles in Transformer Oil Based on Transport of Intensity Equation," Energies, MDPI, vol. 15(16), pages 1-11, August.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:16:p:5836-:d:885887
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    References listed on IDEAS

    as
    1. Janvier Sylvestre N’cho & Issouf Fofana & Yazid Hadjadj & Abderrahmane Beroual, 2016. "Review of Physicochemical-Based Diagnostic Techniques for Assessing Insulation Condition in Aged Transformers," Energies, MDPI, vol. 9(5), pages 1-29, May.
    2. Lei Peng & Qiang Fu & Yaohong Zhao & Yihua Qian & Tiansheng Chen & Shengping Fan, 2018. "A Non-Destructive Optical Method for the DP Measurement of Paper Insulation Based on the Free Fibers in Transformer Oil," Energies, MDPI, vol. 11(4), pages 1-9, March.
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