The field manual for machine learning in manufacturing · updated September 1, 2026
ManufacturingML
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Which machine signals become which features — and how each one breaks

Sixteen signals mapped from OEE component to derived feature, what each predicts well, and the specific way each one goes wrong in a real plant. The failure column is the useful half.

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Download the Mapping Kit (.xlsx)

See also the encyclopedia entries on feature engineering and data quality.

What’s inside

  • Sixteen signals across availability, performance, quality and context
  • The feature each one becomes
  • What it predicts well — stated narrowly
  • How the feature breaks in practice
  • A have-it/partial/no column that scores your coverage