Toomas Vaimann
Papers
18
Total Citations
207
H-Index
8
About
Toomas Vaimann is a prominent researcher specializing in electrical machines, Digital Twin technology, and condition monitoring of electromechanical systems. His work sits at the intersection of industrial digitalization and electrical engineering, where he has made substantial contributions to advancing the practical implementation of Digital Twins for energy conversion systems and electric motors. Vaimann's most influential contributions center on developing Digital Twin frameworks for electrical machines, with his 2021 paper on Digital Twin implementation for electrical energy conversion systems accumulating 49 citations, establishing him as a key voice in this emerging field. His subsequent work on interface development and permanent magnet synchronous motor Digital Twins further demonstrates his commitment to bridging theoretical modeling with real-world industrial applications. Beyond Digital Twins, Vaimann has pursued fault diagnostics in brushless DC motors and robotic transmission systems, investigating how bearing faults and mechanical defects impact system performance — research particularly relevant to electric vehicles and industrial automation. His exploration of IoT-based data acquisition tools reflects a forward-thinking approach to smart monitoring. With a cumulative citation record spanning robotics, servomotor control, and predictive maintenance, Vaimann's research offers valuable guidance for engineers and students navigating the rapidly evolving landscape of intelligent electrical systems.
Research Focus
Key Achievements
Top Papers
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- 6Impact of Bearing Faults on Vibration Level of BLDC Motor13 citations · 2021
- 7IoT Based Tools for Data Acquisition in Electrical Machines and Robotics12 citations · 2021
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- 10Fault Diagnosis of the Tooth Belt Transmission of Cartesian Robot6 citations · 2022