🔧 Supply Chain Analytics | Lecture 10: Predictive Maintenance
Predictive maintenance is the #1 machine learning use case in industry — but it's harder than it looks. This lecture gives you the honest truth about implementing predictive maintenance.
You'll learn:
✅ Maintenance maturity model (reactive → predictive)
✅ Understanding PF curves (potential vs functional failure)
✅ Sensor data challenges and feature engineering
✅ Why organizational buy-in is the real challenge
✅ Practical tips to avoid spurious correlations
Includes link to TSFresh — a Python package for automated feature extraction from time series data.
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