End-to-end predictive maintenance pipeline: multi-sensor data acquisition (current, temperature, vibration), signal processing, ML-based condition classification (98% accuracy), and an offline inference dashboard. Validated on a vertical drill press — adaptable to any sensor-instrumented machine.
python iot arduino machine-learning signal-processing ml data-acquisition xgboost predictive-maintenance industrial-iot vibration-analysis fault-diagnostics condition-monito
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Updated
Jun 12, 2026 - Jupyter Notebook