Sergei Trefilov
Papers
1
Total Citations
7
H-Index
1
About
Sergei Trefilov is a researcher focused on the diagnostics and control of electromechanical systems, particularly in the context of CNC machine tools and robotic drives. His work centers on advancing state-space methodologies to address the challenges posed by nonlinear dynamics in industrial actuation systems. Trefilov’s major contribution lies in developing diagnostic algorithms based on the identifiability criterion, enabling more accurate fault detection and performance monitoring in machine tool drives—a critical need for modern precision manufacturing. His most-cited paper, "Diagnostics of Actuators of Machine Tools Drives According to the Identifiability Criterion by the State Space" (2021), has garnered 7 citations, reflecting its relevance to researchers tackling nonlinear control problems in automation. By bridging theoretical control theory with practical diagnostic applications, Trefilov’s work supports the development of smarter, more reliable manufacturing systems. His research is particularly valuable for students and engineers seeking robust solutions for real-world drive control and condition monitoring in industrial robotics and CNC machinery.
Research Focus
Key Achievements
Top Papers
- 1