Basic Information
- Name : WangXin
- Birth Date : October-18th,1994
- Height : 172cm
- Weight : 62Kg
- Graduate School : JiangSu Normal University-(JSNU)
- Degree : Master in Engineering
- MobilePhone : 86-18260712928
- Email :wangxin94xz@outlook.com
- Degree : Master in Engineering
Skills and Academic Field
- Researching Field : Machine Learning/Deep Learning/Neural Networks/Mechanical Fault Diagnosis/Control Theory/Optimization Theory
- Programming Language : M-Script(Matlab)/S-function(Simulink)/C/C++/Julia/Python/shell/SQL
- Working Preference : Design of Data Structure/Algorithm analysis and Engineering Implementation/Pattern Recognition/Deep Learning/Mechanical Fault Diagnosis
Researching Paper
- Wang Xin. Research on wind turbine gearbox fault diagnosis with deep transfer learning method.Zenodo.2022.
- X.Wang,W.Y.Liu,Y.Zhang and H.Gu. A novel wind turbine fault diagnosis method based on generator current analysis.Journal of Vibroengineering.2020.
- X.Wang,W.Liu and M.Shan. Fault Diagnosis Analysis of Wind Turbine Gear Based on Transfer Function Model.2019 Prognostics and System Health Management Conference(PHM-Qingdao).2019.
- Mengchen Shan, Wenyi Liu and Xin Wang. A novel Robot Joint Bearing fault diagnosis method based on VMD in BP neural network.2019 16th International Conference on Ubiquitous Robots UR.2019.
- He Ren, Wenyi Liu, Mengchen Shan and Xin Wang. A new wind turbine health condition monitoring method based on VMD-MPE and feature-based transfer learning.Measurement.2019.
- He Ren, Wenyi Liu, Mengchen Shan, Xin Wang and Zhengfeng Wang. A novel wind turbine health condition monitoring method based on composite variational mode entropy and weighted distribution adaptation.Renewable Energy.2021.
- Yan Zhang, Wenyi Liu, Xin Wang and Mirza Ali Shaheer. A novel hierarchical hyper-parameter search algorithm based on greedy strategy for wind turbine fault diagnosis. Expert Systems with Applications.2022.
- Yan Zhang, Wenyi Liu, Xin Wang and Heng Gu. A novel wind turbine fault diagnosis method based on compressed sensing and DTL-CNN. Renewable Energy.2022.
Education Background
- 2018.9--2021.6 Master,School of Mechatronic Engineering,Jiangsu Normal University
- 2014.9--2018.6 Bachelor,Mechanical and Electrical Engineering Department,Jiangsu Normal University KeWen College
Working Experience
- 2021.6--2022.3 WeirESCO(Xuzhou) Wearparts, Equipment Engineer, For 9 months
- 2019.9--2020.6 School of Mechatronic Engineering-Jiangsu Normal University,Chairman-Graduate Students Union, For 12 months
- 2020.9--2020.12 School of Mechatronic Engineering-Jiangsu Normal University, Research Assistant, For 4 months
Qualifications
- 2014.11 CRE Technology Association Multimedia Production Competition, Meritorious Winner
- 2015.3 National Computer Rank Examination,Level 2, Passing
- 2016.6 College English Test-6, Passing
- 2015.5 National Proficiency Test of Putonghua,level 2 grade A, Passing
- 2015.12 College English Test-4, Passing
- 2017.3 Maintenance electrician professional qualification certificate, Passing
Contact Me
ORCID: https://orcid.org/0000-0002-7524-2587GitHub: https://github.com/HsinWang94
Google Scholar: https://scholar.google.com/citations?user=JUVOqEUAAAAJ