Centrifugal compressors are used in many industries to increase the pressure of a medium. These are typically large machines, and operational issues can be expensive. For example, a bearing failure can cost over $350,000. However, changes in operating parameters are often not picked by a DCS until they become severe. Even with basic predictive monitoring, detecting issues in performance, and finding the root cause is a major challenge. So, the customer wanted a solution that predicts issues early, diagnoses the root cause, and helps solve them quickly.


Learn how UptimeAI’s “AI Expert” identified the root cause of compressor vibration as fouling in 30 minutes to save over $154,000.


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