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GE Digital
GE Digital

Proficy CSense

Proficy CSense: Monitor Asset or Process Health

4 mins

Content overview
  • Use AI And Machine Learning To Enable Process Engineers To Combine Data Across Industrial Sources
  • Rapidly Identify Problems, Discover Root Causes, Predict Future Performance
  • Automate Actions To Continuously Improve Quality, Utilization, Productivity, And Delivery Of Operations

Video details

In this demonstration we'll see how a process engineer can monitor asset or process health using multivariate fingerprints for early detection of problems using Proficy CSense.

You will see how to visually select data representing optimal conditions and feed this data into the CSense architect where the model can be created, then publish to an external system such as a SCADA or a DCS to improve failure detection and avoid issues.

CSense from GE Digital | banner | operations performance

Learn more about Proficy CSense

Predict future asset and process performance

Return to the Proficy CSense product page.

See how our customers are transforming with CSense

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