Background and activities

I got my Ph.D degree from Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology. My research mainly focuses on data mining and knowledge discovery from industry big data. Deep learning-based data-driven models are the most frequently used methods in my research.

Scientific, academic and artistic work

Displaying a selection of activities. See all publications in the database

Journal publications

Books

  • Li, Zhe; Wang, Kesheng. (2016) Industry 4.0 - Potentials for Predictive Maintenance. Atlantis Press. 2016. ISBN 978-94-6252-243-5. Advances in Economics, Business and Management Research (IWAMA-16).
  • Li, Zhe; Wang, Kesheng; Yang, Jinghui; Stefanov, Yavor. (2016) Applying Radial Basis Function Networks to Fault Diagnosis of Motorized Spindle. Atlantis Press. 2016. ISBN 978-94-6252-243-5. Advances in Economics, Business and Management Research (IWAMA-16).
  • Wang, Kesheng; Li, Zhe. (2016) A review on data-driven predictive maintenance approach for hydro turbines/generators. Atlantis Press. 2016. ISBN 978-94-6252-243-5. Advances in Economics, Business and Management Research (IWAMA-16).
  • Yang, Jinghui; Stefanov, Yavor; Li, Zhe; Wang, Kesheng. (2016) Applying Built-in Virtual Personal Assistant for Educational Equipment. Atlantis Press. 2016. ISBN 978-94-6252-243-5. Advances in Economics, Business and Management Research (IWAMA-16).