R
Ruijin Liao
Researcher at Chongqing University
Publications - 330
Citations - 5184
Ruijin Liao is an academic researcher from Chongqing University. The author has contributed to research in topics: Space charge & Dielectric. The author has an hindex of 29, co-authored 271 publications receiving 3659 citations.
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Fabrication of superhydrophobic surface on aluminum by continuous chemical etching and its anti-icing property
TL;DR: In this paper, a micro/nanostructured aluminum surface was fabricated using a continuous chemical etching method and the static and dynamic anti-icing behaviors of the as-prepared aluminum surface in different conditions were systematically investigated with a self-made device and artificial climate laboratory.
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A comparative study of physicochemical, dielectric and thermal properties of pressboard insulation impregnated with natural ester and mineral oil
TL;DR: In this article, a comparative study of physicochemical, ac breakdown strength and thermal stability behavior of BIOTEMP natural ester/pressboard insulation and Karamay 25# naphthenic mineral oil/press board insulation after long term thermal ageing was conducted.
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Space charge behavior in multi-layer oil-paper insulation under different DC voltages and temperatures
TL;DR: In this article, a series of measurements were carried out when the insulation system was subjected to different applied voltages at different temperatures, and the influence of temperature on charge dynamics was discussed.
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Charge trapping and detrapping in polymeric materials: Trapping parameters
TL;DR: In this paper, the characteristics of charge trapping and detrapping in low density polyethylene (LDPE) under dc electric field have been investigated using the pulsed electroacoustic (PEA) technique.
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An Integrated Decision-Making Model for Condition Assessment of Power Transformers Using Fuzzy Approach and Evidential Reasoning
TL;DR: An integrated model based upon the fuzzy approach and evidential reasoning decision-making approach to condition assessment of power transformers is presented and shows that the assessing model is capable of offering an overall evaluation of the observed transformer condition.