معرفی
Nada El Bouharrouti is a Doctoral Researcher at the Department of Electrical Engineering and Automation, Aalto University. Her work focuses on the intersection of electrical engineering and machine learning for mechanical defects analysis in industrial machinery.
- School: School of Electrical Engineering
- Department: Electrical Engineering and Automation
- Academic Rank: Researcher
Research Interests:
Driven by electromechanical systems and industrial diagnostics, her research emphasizes:
- Advanced vibration signal analysis for fault detection
- Machine learning applications in bearing defect classification
- Multi-physics simulation of induction machines
- Time-frequency representation techniques
- Predictive maintenance of industrial motors
- Data-driven monitoring system development
Publication Trends:
Recent articles highlight interdisciplinary approaches combining deep transfer learning, multi-rate signal processing, and 3D mechanical simulations to address bearing faults in induction machines. Collaborative work spans computational electromechanics and industrial automation domains.
Contact:
Email: nada.elbouharrouti@aalto.fi
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