Many times, changes in operating parameters are not too significant to be picked by a DCS. It is also challenging to manually determine the correlations between many process parameters. For example, determining whether the outlet temperature increase is due to fouling or due to changes in ambient conditions, load, etc. can be highly complex.

 

Learn how AI Expert has correlated over 200 tags to detect turbine fouling and suggested recommendations to address it.

 

Download the case study to know how AI-powered predictive analytics can do wonders for your asset performance & predictive maintenance strategy.

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Don’t take only our word for it

Companies using UptimeAI are saving millions with timely alerts & near-zero downtime

“We were monitoring limited equipment in isolation. UptimeAI’s approach enables us to look at the interrelations & scale the plant”– Oil & Gas, Executive Asia

“Building a full plant monitoring application on an IoT platform is too difficult. In contrast, ‘AI Plant Expert’ offers higher ROI & quick scale-up with an out-of-box, comprehensive solution.”– Power, CIO Asia