Anomaly Detection – Basics and Beyond – Pasi Helenius, SAS Institute

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Session Outline

Anomaly detection is a great way to find abnormal process conditions and machine failures before they happen. This leads to less downtime, reduces maintanence costs and provides better yield and OEE. In this presentation you will hear about different approaches for Anomaly detection in manfucaturing context.

Key Takeaways

  • How to detect known and yet unknown failures and anomalies
  • Where simple methods shine and what Machine Learning methods add
  • Importance of interpretability for user adoption

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