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Junbo Deng

Researcher at Xi'an Jiaotong University

Publications -  102
Citations -  1045

Junbo Deng is an academic researcher from Xi'an Jiaotong University. The author has contributed to research in topics: Surface charge & Voltage. The author has an hindex of 16, co-authored 91 publications receiving 699 citations. Previous affiliations of Junbo Deng include University of Tokyo.

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Proceedings ArticleDOI

Dielectric performance of silicone oil-paper composite insulation system under thermal aging

TL;DR: In this article, the chemical and dielectric performance of silicone oil-paper composite insulation system under thermal aging is discussed, and two kinds of oil paper systems are tested: mineral oil and silicone oil (Shin-Etsu Chemical KF-96-20 Lower viscosity fluid).
Proceedings ArticleDOI

Partial discharge characteristics and trap parameters analysis of oil-paper after thermal aging

TL;DR: In this paper, the degradation of oil-paper caused by thermal aging seriously affects the lifetime of power equipment such as transformers, and the relationship between partial discharge (PD) and degradation of insulation, PD characteristics and trap parameters of the paper are measured.
Proceedings ArticleDOI

Insulation property analysis of cross-linked polyethylene based on density functional theory

TL;DR: In this paper, a simple XLPE molecular model is established with the ORCA package and the basic sets 3-21G, 6-31G and 6-311G(d, p) are utilized to optimize and get the most stable structure.
Proceedings ArticleDOI

Surface Charge Accumulation Behavior on GIL Spacer Under DC Voltages in SF 6 /N 2 Mixtures

TL;DR: In this article, an active electrostatic probe (Trek 3455ET, Model 341B) is used to measure surface potential distribution on a downsized cone-type spacer in SF 6 /N 2 mixtures of different pressure under DC voltage.
Journal ArticleDOI

Algorithm for fast calculating the energization overvoltages along a power cable based on modal theory and numerical inverse Laplace transform

TL;DR: In this article , the authors developed a new algorithm to improve the computational efficiency of power cable overvoltages by using numerical inverse Laplace transform (NILT) and mode-phase transformation.