Papers

2

Total Citations

6

H-Index

2

About

Xavier Chiementin is a leading researcher in the field of mechanical system diagnostics, with a primary focus on the dynamic behavior and vibration analysis of industrial robot transmissions. His work centers on the early detection and identification of gear defects in robotic joints—a critical area for maintaining precision and reliability in modern manufacturing. Chiementin’s major contributions include the development of sophisticated dynamic models that simulate the vibration signatures of single-stage gearboxes under fault conditions, enabling the prediction and localization of defects before they lead to catastrophic failure. His most-cited paper, “Dynamic modeling and vibration analysis for defect identification of single-stage gearboxes in the joints of industrial robots with six DOF” (2023, 4 citations), provides a foundational framework for integrating gear health monitoring into multi-axis robotic systems. Additionally, his 2022 study on “Modelling of an Industrial Robot Joint Transmission in Presence of Gear Defect” (2 citations) further refines these models, offering practical insights for predictive maintenance. Chiementin’s research is instrumental in advancing the reliability of Industry 4.0 automation, where even minor transmission faults can compromise production accuracy and safety.

Research Focus

Key Achievements

2
H-Index
2
Papers
6
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Dynamic modeling and vibration analysis for defect identification of single-stage gearboxes in the joints of industrial robots with six DOF
4 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Institut de Thermique, Mécanique, Matériaux, University of Sfax

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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