Optimal dissolved gas ratios selected by genetic algorithm for power transformer fault diagnosis based on support vector machine J Li, Q Zhang, K Wang, J Wang, T Zhou, Y Zhang IEEE Transactions on Dielectrics and Electrical Insulation 23 (2), 1198-1206, 2016 | 226 | 2016 |
An integrated decision-making model for condition assessment of power transformers using fuzzy approach and evidential reasoning R Liao, H Zheng, S Grzybowski, L Yang, Y Zhang, Y Liao IEEE Transactions on power delivery 26 (2), 1111-1118, 2011 | 189 | 2011 |
Carbon emissions and their drivers for a typical urban economy from multiple perspectives: A case analysis for Beijing city JS Li, HW Zhou, J Meng, Q Yang, B Chen, YY Zhang Applied Energy 226, 1076-1086, 2018 | 147 | 2018 |
Particle swarm optimization-least squares support vector regression based forecasting model on dissolved gases in oil-filled power transformers R Liao, H Zheng, S Grzybowski, L Yang Electric power systems research 81 (12), 2074-2080, 2011 | 141 | 2011 |
A novel model based on wavelet LS-SVM integrated improved PSO algorithm for forecasting of dissolved gas contents in power transformers H Zheng, Y Zhang, J Liu, H Wei, J Zhao, R Liao Electric Power Systems Research 155, 196-205, 2018 | 123 | 2018 |
Reviews on oil-paper insulation thermal aging in power transformers R Liao, L Yang, H Zheng, K Wang, Z Ma Diangong Jishu Xuebao(Transactions of China Electrotechnical Society) 27 (5 …, 2012 | 122 | 2012 |
Fabrication and anti-icing property of coral-like superhydrophobic aluminum surface Z Zuo, R Liao, C Guo, Y Yuan, X Zhao, A Zhuang, YY Zhang Applied Surface Science 331, 132-139, 2015 | 120 | 2015 |
Fault diagnosis of power transformers using multi-class least square support vector machines classifiers with particle swarm optimisation HB Zheng, RJ Liao, S Grzybowski, LJ Yang IET Electric Power Applications 5 (9), 691-696, 2011 | 92 | 2011 |
A fault diagnosis model of power transformers based on dissolved gas analysis features selection and improved krill herd algorithm optimized support vector machine Y Zhang, X Li, H Zheng, H Yao, J Liu, C Zhang, H Peng, J Jiao Ieee Access 7, 102803-102811, 2019 | 89 | 2019 |
The Insulation Properties of Oil‐Impregnated Insulation Paper Reinforced with Nano‐TiO2 R Liao, C Lv, L Yang, Y Zhang, W Wu, C Tang Journal of Nanomaterials 2013 (1), 373959, 2013 | 81 | 2013 |
Effect of oil replacement on furfural analysis and aging assessment of power transformers Y Lin, L Yang, R Liao, W Sun, Y Zhang IEEE Transactions on Dielectrics and Electrical Insulation 22 (5), 2611-2619, 2015 | 77 | 2015 |
Temperature correction to dielectric modulus and activation energy prediction of oil-immersed cellulose insulation J Liu, X Fan, Y Zhang, H Zheng, J Jiao IEEE Transactions on Dielectrics and Electrical Insulation 27 (3), 956-963, 2020 | 63 | 2020 |
A novel maintenance decision making model of power transformers based on reliability and economy assessment M Dong, H Zheng, Y Zhang, K Shi, S Yao, X Kou, G Ding, L Guo IEEE access 7, 28778-28790, 2019 | 61 | 2019 |
Effects of temperature and aging on furfural partitioning in the oil-paper system of power transformers L Yang, Y Lin, R Liao, X Zhao, W Sun, Y Zhang IEEE Transactions on Dielectrics and Electrical Insulation 23 (3), 1393-1401, 2016 | 59 | 2016 |
Moisture diagnosis of transformer oil-immersed insulation with intelligent technique and frequency-domain spectroscopy J Liu, X Fan, C Zhang, CS Lai, Y Zhang, H Zheng, LL Lai, E Zhang IEEE Transactions on Industrial Informatics 17 (7), 4624-4634, 2020 | 58 | 2020 |
Energy-water nexus in electricity trade network: A case study of interprovincial electricity trade in China Y Zhang, J Fang, S Wang, H Yao Applied Energy 257, 113685, 2020 | 54 | 2020 |
Grey relational analysis for insulation condition assessment of power transformers based upon conventional dielectric response measurement J Liu, H Zheng, Y Zhang, H Wei, R Liao Energies 10 (10), 1526, 2017 | 54 | 2017 |
Aging condition assessment of transformer oil-immersed cellulosic insulation based upon the average activation energy method J Liu, X Fan, H Zheng, Y Zhang, C Zhang, B Lai, J Wang, G Ren, E Zhang Cellulose 26, 3891-3908, 2019 | 53 | 2019 |
Ice accretion on superhydrophobic insulators under freezing condition R Liao, Z Zuo, C Guo, A Zhuang, Y Yuan, X Zhao, Y Zhang Cold Regions Science and Technology 112, 87-94, 2015 | 51 | 2015 |
Quantitative evaluation for moisture content of cellulose insulation material in paper/oil system based on frequency dielectric modulus technique J Liu, X Fan, Y Zhang, H Zheng, M Zhu Cellulose 27, 2343-2356, 2020 | 50 | 2020 |