| A novel bearing fault diagnosis model integrated permutation entropy, ensemble empirical mode decomposition and optimized SVM X Zhang, Y Liang, J Zhou Measurement 69, 164-179, 2015 | 577 | 2015 |
| Multi-fault diagnosis for rolling element bearings based on ensemble empirical mode decomposition and optimized support vector machines X Zhang, J Zhou Mechanical Systems and Signal Processing 41 (1-2), 127-140, 2013 | 297 | 2013 |
| Compound feature selection and parameter optimization of ELM for fault diagnosis of rolling element bearings M Luo, C Li, X Zhang, R Li, X An Isa Transactions 65, 556-566, 2016 | 110 | 2016 |
| Support vector machine with parameter optimization by a novel hybrid method and its application to fault diagnosis X Zhang, D Qiu, F Chen Neurocomputing 149, 641-651, 2015 | 105 | 2015 |
| Vibrant fault diagnosis for hydroelectric generator units with a new combination of rough sets and support vector machine X Zhang, J Zhou, J Guo, Q Zou, Z Huang Expert Systems with Applications 39 (3), 2621-2628, 2012 | 78 | 2012 |
| A novel fault diagnosis procedure based on improved symplectic geometry mode decomposition and optimized SVM X Zhang, C Li, X Wang, H Wu Measurement 173, 108644, 2021 | 70 | 2021 |
| Ensemble extreme learning machines for compound-fault diagnosis of rotating machinery XB Wang, X Zhang, Z Li, J Wu Knowledge-Based Systems 188, 105012, 2020 | 68 | 2020 |
| Blind parameter identification of MAR model and mutation hybrid GWO-SCA optimized SVM for fault diagnosis of rotating machinery W Fu, J Tan, X Zhang, T Chen, K Wang Complexity 2019, 2019 | 58 | 2019 |
| Multi-class support vector machine optimized by inter-cluster distance and self-adaptive deferential evolution X Zhang, J Zhou, C Wang, C Li, L Song Applied Mathematics and Computation 218 (9), 4973-4987, 2012 | 35 | 2012 |
| Ensuring profitability of retailers via Shapley Value based demand response J Wang, Q Huang, W Hu, J Li, Z Zhang, D Cai, X Zhang, N Liu International Journal of Electrical Power & Energy Systems 108, 72-85, 2019 | 29 | 2019 |
| Health status assessment and prediction for pumped storage units using a novel health degradation index X Zhang, Y Jiang, C Li, J Zhang Mechanical Systems and Signal Processing 171, 108910, 2022 | 18 | 2022 |
| Vibrant fault diagnosis for hydro-turbine generating unit based on rough sets and multi-class support vector machine XY Zhang, JZ Zhou, ZW Huang, CS Li, H He Zhongguo Dianji Gongcheng Xuebao(Proceedings of the Chinese Society of …, 2010 | 12 | 2010 |
| Support vector machine with parameter optimization by bare bones differential evolution D Qiu, Y Li, X Zhang, B Gu 2011 Seventh International Conference on Natural Computation 1, 263-266, 2011 | 11 | 2011 |
| An improved hydro-turbine governing system model and design of sliding mode variable structure controller G Kou, JZ Zhou, XY Zhang, CQ Wang Power system technology 36 (8), 157-162, 2012 | 5 | 2012 |
| Vibrant fault diagnosis for hydroelectric generator unit considering overlapping fault patterns XY Zhang, JZ Zhou, CQ Wang, CS Li Power System Protection and Control 40 (3), 8-14, 2012 | 4 | 2012 |
| Application study of tent mapping based chaos adaptive PSO algorithm in excitation control system of synchronous generator H He, J Zhou, P Kou, X Zhang Power System Technology, 2010 | 3 | 2010 |
| Dynamic responses of shaft system of hydraulic generator set with coupling faults of bearing looseness and rotor rub-impact H Zhiwei, Z Jianzhong, Z Xiaoyuan Journal of Southwest Jiaotong University 46 (1), 121-126, 0 | 3 | |
| Shapley value based customers voluntary demand response program: a stackelberg game approach J Wang, Q Huang, W Hu, J Li, Z Zhang, D Cai, X Zhang, X Wang, C Li 2019 IEEE Innovative Smart Grid Technologies-Asia (ISGT Asia), 3051-3056, 2019 | 2 | 2019 |
Chaoshun LiHuazhong University of Science and TechnologyVerified email at hust.edu.cn
