Anis Frej
Papers
2
Total Citations
6
H-Index
2
About
Anis Frej is an emerging researcher specializing in mechanical systems dynamics, vibration analysis, and fault detection in industrial robotics. His work centers on the critical challenge of identifying and characterizing defects in robotic transmission systems — an increasingly vital area as modern manufacturing relies ever more heavily on automated robotic solutions. Frej's most notable contribution, his 2023 study on dynamic modeling and vibration analysis for defect identification in single-stage gearboxes within six-degree-of-freedom industrial robot joints, has already garnered 4 citations since its publication, reflecting growing interest in this specialized field. Building on foundational work established in his 2022 paper on modeling industrial robot joint transmissions in the presence of gear defects, Frej has developed a coherent research program aimed at improving the reliability and predictive maintenance capabilities of industrial robotic systems. His research addresses a pressing real-world concern: undetected gearbox defects in industrial manipulators can cause significant degradation in manufacturing accuracy and productivity. By combining dynamic modeling with vibration-based diagnostic techniques, Frej contributes practical tools that help engineers detect mechanical faults earlier, ultimately supporting the broader goals of Industry 4.0 and intelligent, resilient manufacturing environments.
Research Focus
Key Achievements
Top Papers
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