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Author

F. Haruna

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Conference Aug 2026

Edge AI-Driven Sensor Data Analysis for Electric Motor Health Monitoring and Predictive Maintenance

This research proposes an AI-driven, edge-based system for electric motor health monitoring and predictive maintenance using multi-sensor data, and achieves low latency, reduced bandwidth usage, and fast on-site decision-making using TinyML, an edge AI framework.

F. Haruna, M. Abdulraheem, I. O. Durotoye et al. · 0 citations