Bakgrunn og aktiviteter

Education

  • 2017-now. Ph.D. candidate, Department of Ocean Operations and Civil engineering, NTNU Ålesund, Norway. Data analysis and modeling for digital twins of ship (Main Supervisor: Houxiang Zhang).
  • 2012-2015. Master in Computer Science, Zhejiang University of Technology, Hangzhou, China. 

Research interests

  • Data Science
  • Artificial Intelligence
  • Sensitivity and Uncertainty Analysis

Project experience

  • 2019-present: Data analysis of environmental quality in Geiranger.
  • 2018-present: KPN, "Digital Twins for Vessel Life Cycle Service (TwinShip)".
  • 2017-present: SFI, "Offshore Mechatronics".

Publications

  • Xu Cheng, Andre Listou Ellefsen, Guoyuan Li, Finn Tore Holmeset, Shengyong Chen, Houxiang Zhang. “A Step-wise Feature Selection Scheme for a Prognostics and Health Management System in Autonomous Ferry Crossing Operation”. Proceeding of 2019 IEEE International Conference on Mechatronics and Automation (ICMA 2019), accepted.

  • André Listou Ellefsen, Xu Cheng, Finn Tore Holmeset, Sergey Ushakov, Vilmar Æsøy, and Houxiang Zhang. “Automatic Fault Detection for Marine Diesel Engine Degradation in Autonomous Ferry Crossing Operation”. Proceeding of 2019 IEEE International Conference on Mechatronics and Automation (ICMA 2019), accepted.

     

  • Xu Cheng, Guoyuan Li, Robert Skulstad, Shengyong Chen, Hans Petter Hildre and Houxiang Zhang: Modeling and analysis of motion data from dynamically positioned vessels for sea state estimation, IEEE International Conference on Robotics and Automation (ICRA 2019), https://ieeexplore.ieee.org/document/8794069.

  • Xu Cheng, Guoyuan Li, Robert Skulstad, Pierre Major, Shengyong Chen, Hans Petter Hildre, Houxiang Zhang, Data-driven uncertainty and sensitivity analysis for ship motion modeling in offshore operations, Ocean Engineering, 2019, https://doi.org/10.1016/j.oceaneng.2019.03.014.

  • Xu Cheng, Guoyuan Li, Robert Skulstad, Shengyong Chen, Hans Petter Hildre and Houxiang Zhang:  A neural network-based sensitivity analysis approach for data-driven modeling of ship motion, IEEE Journal of Oceanic Engineering, 2018, 10.1109/JOE.2018.2882276.

  • Xu Cheng, Robert Skulstad, Guoyuan Li, Shengyong Chen, Hans Petter Hildre and Houxiang Zhang: A data-driven sensitivity analysis approach for dynamically positioned vessels, in Proceedings of the 59th Conference on Simulation and Modelling (SIMS 59), Oslo, Norway, pp. 156-161, September 26-28, 2018.

  • Xu Cheng, Guoyuan Li, Shenyong Chen, Chen Diao, Mengna Liu, and Houxiang Zhang: Simplifying neural network based model for ship motion prediction: a comparative study of sensitivity analysis, in Proceedings of the ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering, 2017.

  • Chunlin Wang, Xu Cheng, Guoyuan Li, Shengyong Chen, and Houxiang Zhang: A SVM-based sensitivity analysis approach for data-driven modeling of ship motion, in Proceeding of 2018 IEEE International Conference on Mechatronics and Automation (ICMA 2018), Changchun, China, pp. 803-808, August 5-8, 2018.
  • Yonghui Shuai, Guoyuan Li, Xu Cheng, Robert Skulstad, Jinshan Xu, Honghai Liu, Houxiang Zhang: An efficient neural-network based approach to automatic ship docking, Ocean Engineering, 2019, https://doi.org/10.1016/j.oceaneng.2019.106514.

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