DataMind AI™ Detects Structural Looseness in Apron Feeder Motor
By Razor Labs 5 min read SHARE At the ferroalloys mining site, the Apron Feeder plays a critical role in regulating material flow and maintaining continuous upstream production. Drive A of the feeder is powered by a heavy duty motor operating under constant load conditions, where structural integrity is essential for stable operation. DataMind AI™ […]
Visual AI Detects Crusher Liner Wear and Prevents Production Risks
By Razor Labs 5 min read SHARE Discover how DataMind AI™ Visual AI Monitoring helped a ferroalloy site identify subtle material flow anomalies after the jaw crusher – well before visible failure signs appeared. Through continuous monitoring of size distribution trends, the system provided early, actionable insights that enabled proactive maintenance during planned downtime – […]
Detecting a Critical Centrifuge Drum Imbalance with DataMind AI™
By Razor Labs 5 min read SHARE DataMind AI™ was installed at a major coal site to monitor critical equipment, including a high-speed centrifuge essential for material separation. Any failure or imbalance could disrupt production and lead to costly downtime. Following a routine stoppage, DataMind AI™ detected an abnormal increase in vibration levels, signaling a […]
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 […]
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 […]
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 […]
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 […]
