Education
Zhengzhou University
Master of Industrial Engineering and Management
郑州大学 · 工业工程与管理专业硕士研究生
Research Interests
- Fault diagnosis and health management of manufacturing systems
- Machine learning applications in intelligent manufacturing
- Few-shot learning and domain adaptation for fault diagnosis
- Industrial engineering and production system optimization
- Digital manufacturing and industrial Internet platforms
Selected Projects
Few-shot Fault Diagnosis Based on Machine Learning
Focused on fault diagnosis under limited labeled data and varying working conditions. The research explores feature extraction, lightweight representation learning, and prototype-based classification methods for machinery fault diagnosis.
SMT Workshop Layout and Scheduling Optimization
Developed an integrated optimization framework for SMT workshop layout and production scheduling. The project considered makespan, logistics cost, and equipment utilization in a multi-variety small-batch manufacturing environment.
Industrial Internet Service Adoption Modeling
Studied platform-enterprise interaction mechanisms and enterprise service adoption behavior using Stackelberg game and evolutionary game modeling approaches.
Skills
- Research areas: fault diagnosis, intelligent manufacturing, industrial engineering
- Methods: machine learning, optimization modeling, game theory, statistical analysis
- Programming and tools: Python, MATLAB, GitHub, basic web development
- Languages: Chinese, English
Contact
Email: your-email@example.com
GitHub:
https://github.com/dwze0210-ship-it
Website:
https://wenze1030.ccwu.cc