Yiyi Zhang

TL;DR: The fault diagnosis results of IEC TC 10 database show that the proposed ODGR with SVM may be used as an alternative tool for transformer fault diagnosis and the robustness and generalization ability of ODGR is confirmed.

TL;DR: Wang et al. as discussed by the authors investigated the role of consumption and consumption-based CO2 emissions in an urban economy, taking Beijing as a case, and found that consumption was the key contributor to CO2 emission in Beijing.

TL;DR: A novel approach combing wavelet technique with least squares support vector machine (LS-SVM) for forecasting of dissolved gases in oil-immersed power transformers has been proposed and experimental results show that this approach is capable of forecasting the dissolved gas contents accurately.

TL;DR: The fault diagnosis results based on the new fault sample show that the proposed DGA feature set to increase the accuracy by 26.78% and 10.83% over the DGA full data and IEC ratios, which proves the validity of the proposed fault diagnosis model.

TL;DR: In this article, an accelerated thermal aging test of oil-paper samples was conducted at 130 °C for 35 days, and the results showed that the furfural correction function effectively corrects furfurural loss during oil replacement and improves the accuracy of estimating paper aging.