While a variety of tools are available to track energy consumption, it can still be difficult to determine the cause of high energy consumption in a plant. In this case, a suction strainer choke resulted in an efficiency drop that led to high steam consumption.


Learn how UptimeAI’s “AI Expert” identified the cause of efficiency drop as suction strainer choke.


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

Fill in the form to get a copy of the case study :

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