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Composite papers (hand sheets) with 2wt% nanoAl2O3 doped and blank papers were prepared and the accelerated thermal aging test under 130oC with oil-blank paper and oil-composed paper were performed. The main electrical parameters of paper were tested. According to corresponding data analysis, it can be concluded that the addition of nano-Al2O3 can improve the electrical properties and anti-aging ability...
This paper focuses on the dielectric properties in TiO2/XLPE nanocomposites, the TiO2 nanoparticles were added into XLPE matrix with different mass concentrations (1wt%, 3wt%, and 5wt%). It was found that the volume resistivity of TiO2/XLPE nanocomposites was higher than XLPE, which increased with filling concentrations. In addition, the TiO2/XLPE nanocomposites had lower permittivity and lower dielectric...
SiO2 hollow spheres and K-SiO2 insulation paper handsheets composed of these SiO2 hollow spheres with different weight percentages were synthesized. SiO2 hollow spheres with a low content were uniformly dispersed. However, the SiO2 hollow spheres locally aggregated with increased concentration. The relative permittivities of the immersed oil K-SiO2 handsheets initially decreased and then increased...
Features of high flash point, high degradation rate and the reproducibility make vegetable oil possible to be a new kind of insulation oil, which is expected to replace mineral oil. Temperature has a great influence on the dielectric characteristics of insulation oil and the oil-impregnated papers, so with the increasing use of vegetable oil in transformers, it is necessary to study the temperature...
Frequency domain spectroscopy (FDS) has been used to assess the ageing condition of oil-paper insulation used in transformers. To further understand the ageing process, the reduction in degree of polymerization (DP) of cellulosic paper in itself on the dielectric response was investigated first. It has been found that the reduction in DP itself can alter the dielectric characteristics. The oil-paper...
Effective complex permittivity measurements of liquids are important in microwave engineering, microwave material processing, microwave chemistry, and electrobiology. Artificial neural network computational modules have recently gained recognition as an unconventional and useful tool for microwave technology. Neural networks can be trained to learn the behavior of the effective complex permittivity...
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