Meixi Pan
Papers
1
Total Citations
3
H-Index
1
About
Meixi Pan is a researcher whose work bridges mechanical diagnostics and signal processing, with a particular focus on the detection and classification of mechanical faults in robotic systems. Her key research areas include vibration analysis, condition monitoring, and the application of advanced time-frequency techniques to mechanical systems. Pan’s most notable contribution is her pioneering use of Wigner-Ville distributions combined with two-dimensional correlation techniques to diagnose joint backlash in robotic mechanisms—a critical issue affecting precision and safety in automation. Her 1995 paper on this topic, though with a modest citation count of 3, represents an early and innovative application of these methods to real-world mechanical diagnostics, laying groundwork for later advances in non-invasive fault detection. Pan’s work is characterized by a rigorous analytical approach that seeks to extract meaningful diagnostic information from complex vibration signals during normal operating conditions. While her publication record is focused, her contributions highlight the importance of cross-disciplinary techniques—merging signal processing with mechanical engineering—to solve practical problems in robotics and automation.
Research Focus
Key Achievements
Top Papers
- 1