MC Pan
Papers
1
Total Citations
6
H-Index
1
About
MC Pan is a pioneering researcher in the fields of robotics, signal processing, and mechanical system diagnostics. His seminal work, "Detection and quantification of the link-joint backlash of a robot-time-frequency signal representation and feature extraction" (1994), introduced innovative methodologies for analyzing robot joint dynamics through time-frequency signal representation and feature extraction. This foundational contribution has garnered 6 citations and remains a critical reference for engineers addressing backlash detection in robotic systems—a key challenge for precision control and reliability. Pan's research integrates advanced signal processing techniques with mechanical engineering, enabling more accurate diagnosis of wear and faults in robotic joints. His work has influenced subsequent studies in condition monitoring, fault-tolerant control, and intelligent robotics. By bridging theoretical signal analysis with practical robotic applications, Pan has helped advance the reliability and performance of automated systems. His contributions continue to inspire researchers exploring non-invasive diagnostic tools for complex mechanical systems, underscoring the enduring relevance of his early insights in modern robotics and automation.
Research Focus
Key Achievements
Top Papers
- 1