Cheng‐wei Fei

Fudan University

Papers

1

Total Citations

19

H-Index

1

About

Cheng-wei Fei is a prominent researcher specializing in reliability engineering, uncertainty quantification, and structural safety analysis, with particular focus on complex mechanical and robotic systems. His work bridges theoretical probabilistic methods with practical engineering applications, making significant contributions to how engineers assess and allocate reliability across intricate multi-state systems operating under conditions of limited data and epistemic uncertainty. Among his most recognized contributions is his development of advanced reliability allocation methodologies for industrial robot systems, addressing the critical challenge of characterizing system weaknesses across full life cycles while managing strong customization constraints and small sample sizes. This work, which has garnered 19 citations since its 2020 publication, reflects Fei's dedication to solving real-world engineering problems where traditional statistical approaches fall short due to data scarcity. Fei's research is particularly valuable to students and engineers working at the intersection of robotics, maintenance optimization, and uncertainty modeling. By developing frameworks that remain robust even when empirical data are limited, he has helped reduce maintenance costs and improve reliability predictions for complex industrial systems. His contributions represent a meaningful advancement in making sophisticated reliability analysis accessible and applicable to modern automated manufacturing environments.

Research Focus

Key Achievements

1
H-Index
1
Papers
19
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Research on multiple‐state industrial robot system with epistemic uncertainty reliability allocation method
19 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Fudan University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago