Wei Cheng | Intelligent Maintenance | Best Researcher Award

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Prof. Wei Cheng | Intelligent Maintenance | Best Researcher Award

Professor at Xi’an Jiaotong University, China

Prof. Wei Cheng is a prominent figure in the field of mechanical engineering with deep expertise in intelligent systems for nuclear power and smart agricultural technologies. Currently a Full Professor and Doctoral Supervisor at Xi’an Jiaotong University, he has demonstrated an exceptional trajectory in academia, national-level research, and policy advisory roles. His research contributions span nuclear power intelligent decision-making, predictive maintenance, and smart manufacturing, supported by extensive funding and recognized by national media and scientific communities.

Publication Profile 

Scopus

Educational Background 🎓

  • Postdoctoral Research (2012.12 – 2015.09)
    Mechanical Engineering, Xi’an Jiaotong University

  • Ph.D. in Mechanical Engineering (2008.09 – 2012.12)
    Xi’an Jiaotong University

    • Joint Ph.D. at University of Michigan, Ann Arbor (2011.02 – 2012.10)

  • M.Eng. in Mechanical Engineering (2006.09 – 2008.08)
    Xi’an Jiaotong University

  • B.Eng. in Mechanical Engineering (2002.09 – 2006.06)
    Xi’an Jiaotong University

Professional Experience 💼

  • 2022 – Present:

    • Full Professor / Doctoral Supervisor, School of Mechanical Engineering, Xi’an Jiaotong University

    • Deputy Director, CNNC-XJTU Joint Lab for Nuclear Power Intelligent Decision & Predictive Operation

    • Chief Scientist, Smart Agriculture Technology & Equipment Research Center

  • 2018 – 2020:
    Associate Director, Department of Scientific Research, Xi’an Jiaotong University

  • 2017 – 2018:
    Project Manager, High-Tech Department, Ministry of Science and Technology of China

  • 2015 – 2021:
    Associate Professor / Doctoral Supervisor, Xi’an Jiaotong University

Research Interests 🔬

  • Nuclear power intelligent decision-making systems

  • Smart maintenance and predictive operation technology

  • Intelligent equipment for smart agriculture

  • Digital twin and intelligent diagnostics

  • Standardization in intelligent manufacturing

Awards and Honors🏆✨

  • “Wang Kuancheng Young Scholar” distinction

  • Chief author of national strategy documents (e.g., China’s Manufacturing Power Strategy 2035)

  • Research highlighted in People’s Daily and Shaanxi Daily

  • Recognized expert in national standardization committees

Key Research Achievements

  • Led 24 competitive research projects, with over ¥24 million in funding

  • PI of the National S&T Major Project and National Key R&D Program

  • Secured 3 NSFC grants and 17 provincial/ministerial-level projects

  • Developed 1 nuclear power intelligent system and contributed to 5 national/industry standards

  • Published 70+ papers (40+ SCI, 20+ EI indexed)

  • Filed 50+ patents and 11 software copyrights

Conclusion🌟

Prof. Wei Cheng stands out as a highly accomplished and visionary academic in mechanical engineering, with a solid track record in cross-disciplinary innovation, high-impact research, and leadership in national policy planning. His achievements in nuclear power, smart agriculture, and predictive maintenance not only advance scientific frontiers but also align with strategic industrial goals. He is a strong candidate for research excellence awards and continued leadership roles in shaping China’s intelligent manufacturing landscape.

Publications 📚

📄 Article
MelNet: An End-to-End Adaptive Network with Adjustable Frequency for Preprocessing-Free Broadband Acoustic Emission Signals
📚 Information Fusion, 2025
🔗 Full text: Unavailable
📊 Citations: 0

📄 Article
Efficient Belief Rule-Based Network for Planetary Gearbox Wear State Characterization Using Multi-Channel Lubricant Debris Information
📚 Information Fusion, 2025
🔗 Full text: Unavailable
📊 Citations: 0

📄 Article
Gas Turbine Harmonic Detection and Modal Identification Based on Underdetermined Blind Source Separation
📚 Journal of Sound and Vibration, 2025
🔗 Full text: Unavailable
📊 Citations: 0

📄 Article
Class-Imbalanced Pattern Recognition in Pipeline Weld Cracks Damage via Feature Characterization and Sample Enhancement
📚 Measurement – Journal of the International Measurement Confederation, 2025
🔗 Full text: Unavailable
📊 Citations: 0

📄 Article
Microleakage Acoustic Emission Monitoring of Pipeline Weld Cracks Under Complex Noise Interference: A Feasible Framework
📚 Journal of Sound and Vibration, 2025
🔗 Full text: Unavailable
📊 Citations: 1

📚 Review
Diagnostics and Prognostics in Power Plants: A Systematic Review
📝 Journal Name Not Specified, 2025
🔗 Full text: Unavailable
📊 Citations: 1

📄 Article
Macro Guidance–Micro Avoidance Model for On-Site Personnel Emergency Evacuation Strategy in Nuclear Power Plants Under Fear Psychology
📚 Physica A: Statistical Mechanics and Its Applications, 2025
🔗 Full text: Unavailable
📊 Citations: 0

📄 Article
Gradient Consistency Strategy Cooperative Meta-Feature Learning for Mixed Domain Generalized Machine Fault Diagnosis
📚 Knowledge-Based Systems, 2025
🔗 Full text: Unavailable
📊 Citations: 1

📄 Article
EI-ISOA-VMD: Adaptive Denoising and Detrending Method for Nuclear Circulating Water Pump Impeller
📚 Measurement – Journal of the International Measurement Confederation, 2025
🔗 Full text: Unavailable
📊 Citations: 4

📄 Article
A Model-Based Deep Learning Approach to Interpretable Impact Force Localization and Reconstruction
📚 Mechanical Systems and Signal Processing, 2025
🔗 Full text: Unavailable
📊 Citations: 4