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

Hao Pan, Liang Xue (), Chuankai Yang (), Fenghong Chu, Youhua Jiang, Hongmei Zhu, Yue Li and Lei Xin
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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

Energies, 2022, vol. 15, issue 16, 1-11

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.

Keywords: power transformers; oil-paper insulation aging; cellulose particles; transport of intensity equation; phase recovery (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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