Xiaoyuan Zhang

发表

Ensemble extreme learning machines for compound-fault diagnosis of rotating machinery

Xian-Bo Wang, Xiaoyuan Zhang, Zhen Li, 2020, Knowl. Based Syst..

A novel fault diagnosis procedure based on improved symplectic geometry mode decomposition and optimized SVM

Xiaoyuan Zhang, Huanmei Wu, Chaoshun Li, 2020 .

Health status assessment and prediction for pumped storage units using a novel health degradation index

Xiaoyuan Zhang, Chaoshun Li, Jinhao Zhang, 2022, Mechanical Systems and Signal Processing.

A novel bearing fault diagnosis model integrated permutation entropy, ensemble empirical mode decomposition and optimized SVM

Yitao Liang, Xiaoyuan Zhang, Jianzhong Zhou, 2015 .

Vibrant fault diagnosis for hydroelectric generator units with a new combination of rough sets and support vector machine

Jun Guo, Xiaoyuan Zhang, Zhiwei Huang, 2012, Expert Syst. Appl..

Compound feature selection and parameter optimization of ELM for fault diagnosis of rolling element bearings.

Meng Luo, Chaoshun Li, Xiaoyuan Zhang, 2016, ISA transactions.

Multi-fault diagnosis for rolling element bearings based on ensemble empirical mode decomposition and optimized support vector machines

Xiaoyuan Zhang, Jianzhong Zhou, Jian-zhong Zhou, 2013 .

Support vector machine with parameter optimization by a novel hybrid method and its application to fault diagnosis

Xiaoyuan Zhang, Daoyin Qiu, Fuan Chen, 2015, Neurocomputing.

Study on novel signal processing and simultaneous-fault diagnostic method for wind turbine

Xian-Bo Wang, Xiaoyuan Zhang, Kun Zhang, 2019, Trans. Inst. Meas. Control.

Blind Parameter Identification of MAR Model and Mutation Hybrid GWO-SCA Optimized SVM for Fault Diagnosis of Rotating Machinery

Kai Wang, Wenlong Fu, Tie Chen, 2019, Complex..

Vibration fault diagnosis of hydro-turbine generating unit based on rough 1-v-1 multiclass support vector machine

Xiaoyuan Zhang, Bo Liu, Jianzhong Zhou, 2010, 2010 Sixth International Conference on Natural Computation.