| Partial discharge recognition with a multi-resolution convolutional neural network G Li, X Wang, X Li, A Yang, M Rong Sensors 18 (10), 3512, 2018 | 82 | 2018 |
| A Bayesian deep learning RUL framework integrating epistemic and aleatoric uncertainties G Li, L Yang, CG Lee, X Wang, M Rong IEEE Transactions on Industrial Electronics 68 (9), 8829-8841, 2020 | 81 | 2020 |
| Partial discharge patterns recognition with deep Convolutional Neural Networks G Li, M Rong, X Wang, X Li, Y Li 2016 International Conference on Condition Monitoring and Diagnosis (CMD …, 2016 | 48 | 2016 |
| Mechanical life prognosis of high voltage circuit breakers based on support vector machine X Zhang, R Huang, S Yao, G Li, L Zhong, X Wang 2015 11th International Conference on Natural Computation (ICNC), 749-753, 2015 | 13 | 2015 |
| Failure prognosis of high voltage circuit breakers with temporal latent Dirichlet allocation G Li, X Wang, A Yang, M Rong, K Yang Energies 10 (11), 1913, 2017 | 9 | 2017 |
| Statistical Analysis of Defects and Mechanical Characteristic Data for GIS above 110kV in Different Operating Years X Zhang, G Li, W Tao, R Huang, Y Zhao, S Yao, X Wang IEICE Technical Report; IEICE Tech. Rep. 114 (342), 133-138, 2014 | 2 | 2014 |
| Health status centered mechanical feature extraction for high voltage circuit breakers G Li, X Wang, M Rong, J Zhong 2017 4th International Conference on Electric Power Equipment-Switching …, 2017 | 1 | 2017 |
| Defect distribution prognosis of high voltage circuit breakers with enhanced latent Dirichlet allocation C Guo, G Li, H Zhang, X Ju, Y Zhang, X Wang 2017 Prognostics and System Health Management Conference (PHM-Harbin), 1-7, 2017 | 1 | 2017 |
