Case Study: DataMind AI Detects Compressor Gearbox Deterioration Minimizing Shutdown Time
By Razor Labs 5 min read SHARE DataMind AI is a robust maintenance and diagnostic solution that offers automated failure detection, diagnosis, and prescriptive actions. Deployed at a vanadium ore production site, DataMind AI monitors multiple machines, including the compressor gearbox. The case study highlights how DataMind AI’s unique spectral trend, cleaned by operation mode […]
Case Study: DataMind AI Detects Stacker Conveyor Failure Preventing Unplanned Shutdown
By Razor Labs 5 min read SHARE This case study details how DataMind AI preempted a significant failure at an iron ore facility that went undetected by traditional methods, preventing costly unplanned downtime. This incident highlights the indispensable role of DataMind AI predictive maintenance platform in high-stakes environments like iron ore processing. DataMind AI’s advanced […]
Case Study: Real-time conveyor and material monitoring. DataMind AI uncovers crusher liner issues and prevents downstream equipment failures.
By Razor Labs 5 min read SHARE Crusher liners are essential to the effective operation of any crusher. Wear of the crusher liners and inaccuracies in the crusher gap calibration can result in oversized ore going unnoticed, potentially causing harm to downstream equipment, like the grinding circuit. Early detection of these potential issues allows for […]
Case Study: Breakthrough in Critical Ball Mill Failure Prediction with DataMind AI
In our latest article, we delve into the remarkable advancements achieved through the utilization of DataMind AI in predictive maintenance. Learn how our recent case study titled “Breakthrough in Critical Ball Mill Failure Prediction with DataMind AI” revolutionized the industry’s approach to anticipating and preventing critical failures in ball mills. Discover the fascinating insights and outcomes of this groundbreaking study.
Case Study: Leading iron ore mining company reduces unscheduled downtime of the port conveyor fleet
By Razor Labs 5 min read Download PDF SHARE The challenge With dozens of kilometers of conveyors, the iron ore port experienced an average annual downtime of roughly 800 annual hours for the port inflow conveyors. Various issues, including pulley failures, belt rips, run-offs and drift issues, motor and gearbox failures, and roller failures, caused […]
Case Study: Leading gold miner reduces unscheduled crusher downtime with DataMind AI
By Razor Labs 5 min read Download PDF SHARE The challenge The customer faced significant reliability challenges related to the site’s crushing circuit. The site experienced an average annual downtime of 250 hours. The financial impact of this unscheduled downtime and the associated lost throughput was estimated at $22,000/hour. The recurring failures resulted in increased […]
Leading iron ore mining company reduces reclaimer fleet’s unscheduled downtime by 25% and increases productivity by 1.2M tons annually
By Razor Labs 5 min read SHARE Reclaimers are critical for the iron ore processing flow Iron ore is one of the most demanded commodities in the world, being used 20 times more than all other metals combined. It takes about 1.6 tons of iron ore to produce 1 ton of steel. The iron ore […]
