Mateusz Krawczyk
Papers
2
Total Citations
20
H-Index
2
About
Mateusz Krawczyk is a researcher advancing the field of industrial digitalization through pioneering work on Digital Twin (DT) technology for electric motor diagnostics. His primary research focuses on developing Digital Twin Service Units for fault detection in AC motors and electric vehicle (EV) induction motors, specifically targeting stator inter-turn short circuit faults. Krawczyk’s major contribution lies in bridging the gap between virtual modeling and real-time physical asset monitoring, enabling condition-based maintenance and predictive analytics. His most-cited paper, "Digital Twin Service Unit for AC Motor Stator Inter-Turn Short Circuit Fault Detection" (2021), has garnered 15 citations, establishing a foundation for integrating DT with sensor-driven real-time data for fault prognosis. A subsequent work on EV induction motor fault detection (2023) extends this approach to the rapidly growing electric vehicle sector, addressing critical reliability challenges. Krawczyk’s research is notable for its practical application of Industry 4.0 principles, offering tangible solutions for reducing downtime and improving motor lifespan in industrial and automotive contexts. His work is essential reading for engineers and researchers exploring digital twins for electromechanical systems.
Research Focus
Key Achievements
Top Papers
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