Bilal Asad
Papers
6
Total Citations
76
H-Index
5
About
Bilal Asad is an emerging researcher specializing in digital twin technology, electric motor systems, and fault detection for electromechanical equipment. His work sits at the intersection of industrial digitalization and condition monitoring, making meaningful contributions to the advancement of smart manufacturing and predictive maintenance frameworks. Asad's most influential contribution, "Interface Development for Digital Twin of an Electric Motor Based on Empirical Performance Model" (2022, 35 citations), established a practical framework for synchronizing real-time physical data with digital representations of electric motors — a critical step toward fully realized digital twin ecosystems. Building on this foundation, his research on AC motor stator fault detection using digital twin service units (2021, 15 citations) demonstrated how virtual modeling could be leveraged for early-stage inter-turn short circuit diagnosis, a notoriously difficult fault to identify. Beyond digital twins, Asad has investigated bearing faults in BLDC motors for electric scooter applications and mechanical transmission failures in Cartesian robots, broadening his expertise across diverse electromechanical systems. With a growing citation record across six key publications in just two years, Asad represents a promising voice in the field of intelligent condition monitoring and industrial digitalization.
Research Focus
Key Achievements
Top Papers
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- 5Fault Diagnosis of the Tooth Belt Transmission of Cartesian Robot6 citations · 2022
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