AI-Powered Motor Maintenance using Industrial Edge Devices
Introduction This solution presents a fully local, offline‑capable industrial Edge AI approach designed for real‑time motor health monitoring and predictive maintenance. It operates without cloud dependency, ensuring uninterrupted analytics in isolated industrial environments. The system delivers actionable insights for safety, reliability, and operational efficiency. System Overview AI Techniques Used Transformer-based time-series Informer2020 model for forecasting […]
