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Early Detection and Diagnosis of Kiln and Cooler Efficiency Loss in Cement Manufacturing Saves $300,000.

Early Detection and Diagnosis of Kiln and Cooler Efficiency Loss in Cement Manufacturing Saves $300,000.

Physical inspection of assets, though needed, can be a challenge because of today’s centralized monitoring and limited workforce available at the manufacturing site. In this case study, a huge coating piece stuck on the grate resulted in higher cooler input fan pressure causing a drop in cooler efficiency.

Learn how UptimeAI’s AI Expert OEx platform quickly identified the cause of the efficiency drop.

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

Get a copy of the case study : Download Here

 

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