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GE Digital
GE Digital

Proficy CSense

Proficy CSense: Improve Process Variation

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 reduce process variations using Proficy CSense and the CSense continuous troubleshooter connected to Proficy Historian feeding time-series data.

You will see how to identify the root cause of temperature variation in a furnace by looking at correlations and analyzing key parameters, in this case the anode temperature and create a digital model that you can deploy in production for real time control & analysis.


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