Jun Gao

TL;DR: In this paper, the authors used frequency domain spectroscopy (FDS) to assess the insulation condition of power transformers in order to distinguish the influences of moisture and aging on the frequency domain dielectric response.

TL;DR: In this article, a grey correlation diagnosis model was first introduced to assess the aging state and water content of oil-paper insulation, and then the dielectric characteristic parameters were extracted to form a fingerprint database to indicate the various states of the oil impregnated pressboard.

TL;DR: In this article, a modified Cole-Cole model was introduced to describe the frequency domain spectroscopy (FDS) curves based on the classic Debye relaxation model and thereby accurately determined the ageing state of the insulation of a power transformer using FDS.

TL;DR: In this article, several experiments were conducted under controlled laboratory conditions to quantitatively diagnose the amount of moisture in cellulose insulation using frequency domain spectroscopy (FDS) technique, which has proven to be an effective tool to predict the insulation condition in oil-impregnated power equipment.

TL;DR: In this paper, the diffusion behavior of hydrogen, carbon monoxide, carbon dioxide, methane, acetylene, ethylene and ethane in oil and paper medium was examined using molecular dynamics to reveal the diffusion mechanism of gas molecules in transformer oil-paper insulation system at the microscopic level.