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predictive-maintenance-scheduling

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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.

  • Updated Nov 7, 2025
  • Python

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)

  • Updated Jan 25, 2026
  • Python

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