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Volume 42 Issue 10
Oct.  2016
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Journal of Beijing University of Aeronautics and Astronautics  > 2016  >  42(10): 2031-2037.
CHEN Bin, HAN Chao, LIU Geet al. Influence of copper particle pollution on transformer oil kinematic viscosity[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(10): 2031-2037. doi: 10.13700/j.bh.1001-5965.2015.0628(in Chinese)
Citation: CHEN Bin, HAN Chao, LIU Geet al. Influence of copper particle pollution on transformer oil kinematic viscosity[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(10): 2031-2037. doi: 10.13700/j.bh.1001-5965.2015.0628(in Chinese)
shu

Influence of copper particle pollution on transformer oil kinematic viscosity

doi: 10.13700/j.bh.1001-5965.2015.0628

  • Engineering Research Centre for Waste Oil Recovery Technology and Equipment, Chongqing Technology and Business University, Chongqing 400067, China

Funds:  National Natural Science Foundation of China (51375516); Chongqing Research Program of Basic Research and Frontier Technology (cstc2016jcyjA0185)
  • Received Date: 23 Sep 2015
  • Publish Date: 20 Oct 2016
    Abstract
  • Copper particle pollution in the transformer oil is easy to affect the physical and chemical properties of the oil, and even leads to major accidents. On the basis of ISO4406：1999, 24 groups of samples of different pollution particles containing copper were made up, and the kinematic viscosity (40℃) of the samples was tested; the influence rules were achieved between copper particle pollution and oil kinematic viscosity. A simulation model was established between the different particle sizes, content copper particles in the sample and the kinematic viscosity of oil samples using partial least squares (PLS) method and support vector machine (SVM) method. The influence laws of the different particle sizes and content copper particle pollution on the oil kinematic viscosity were investigated. The results show that the oil kinematic viscosity decreases with the increase of copper particles' pollution degree. Copper particle pollution within the particle size range of 15-25 μm has obvious influence on the oil kinematic viscosity, and the oil kinematic viscosity increases with the increase of particle size. The correlation coefficient and root mean square error (RMSE) of the established SVM model are obtained to forecast the validation set, which are 0.962 6 and 4.597×10-5, respectively. This provides a new way to eliminate the experimental error, reduce the influence of artificial factors, and know the copper particle pollution impact on oil kinematic viscosity more accurately.

     

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