In this case, despite implementation of a Distributed Control System (DCS) with Threshold Based Alarms, resolving jammed belt idlers in cement manufacturing remains a formidable challenge. There could be multiple anomalies such as, where the current consumption increases significantly for the cement rubber belt conveyor whereas the material flowrate remains constant.
Learn how AI Expert seamlessly integrated with the Operational Technology (OT) stack of a global cement manufacturer, including maintenance systems such as SAP PM, to identify the anomaly and address the root cause.
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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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