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. In this case, after a scheduled maintenance activity, the bearing temperature in the FD Fan was gradually increasing from 40°C to 51°C without any change in the operating conditions.

 

Learn how AI Expert’s early detection and diagnosis of high bearing temperature saved an enterprise $120,000 in repair costs, lost production, and associated expenses.

 

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

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