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predictive-maintenance-scheduling

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binru33 / nasa-battery-SOH-pipeline

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An improved temporal data pipeline with foundational model for battery State of Health (SOH) prediction (R²->0.99) using advanced time series decomposition (D3R, CEEMDAN) and transformer-based methods. Utilized 100-150 features (ARIMA-based, Rolling statistics, Degradation indicators)

rolling-statistics foundational-models gru-neural-network ceemdan-lstm-arima emd-gru-arima-hybrid d3r-decomposition arima-based-features grid-scale-energy-storage-monitoring predictive-maintenance-scheduling battery-lifecycle-optimization
  • Updated Oct 10, 2025
  • Python

mwasifanwar / manuoptima-ai

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Predictive maintenance and quality control system for manufacturing. Uses sensor data and computer vision to predict equipment failures, optimize production lines, and detect product defects in real-time.

iot quality-control computer-vision manufacturing iot-application computer-vision-algorithms predictive-maintenance time-series-forecasting industrial-ai computer-vision-opencv manufacturing-execution-system manufacturing-intelligence industrial-ai-lab time-series-forecasting-pipeline predictive-maintenance-scheduling
  • Updated Nov 7, 2025
  • Python

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