Nasha Wei
Papers
1
Total Citations
2
H-Index
1
About
Nasha Wei is a researcher focused on the intersection of industrial robotics, condition monitoring, and signal processing. Her work centers on developing advanced methodologies for the real-time health assessment of robotic systems, with a particular emphasis on vibration analysis as a diagnostic tool. Her most cited paper, "Modelling and Vibration Signal Analysis for Condition Monitoring of Industrial Robots" (2022), has garnered 2 citations, establishing a foundational contribution to predictive maintenance in automated manufacturing environments. This research integrates dynamic modeling with signal processing techniques to detect early signs of mechanical degradation, offering practical solutions for extending equipment lifespan and reducing downtime. Wei's contributions are particularly relevant as industries increasingly rely on autonomous systems, where early fault detection is critical for operational safety and efficiency. Her work represents a step forward in bridging theoretical vibration analysis with applied industrial robotics, positioning her as an emerging voice in the field of intelligent maintenance systems.
Research Focus
Key Achievements
Top Papers
- 1