Case Study: 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™ […]
Case Study: Combustion Imbalance Detected by DataMind AI™ in Komatsu 930E
By Razor Labs 7 min read SHARE Overview DataMind AI™ for Mobile Fleet was deployed across a large mining operation to monitor its haul truck fleet, including Komatsu 930E units, uncovering mechanical faults that OEM systems and alert overload had failed to detect. The failure in this case originated within the Engine Air & Exhaust […]
Case Study: Radiator Blockage Detected by DataMind AI™ in CAT 793D
By Razor Labs 7 min read SHARE Overview DataMind AI™ for Mobile Fleet was deployed at a large mining operation to monitor CAT 793D haul trucks and detect mechanical issues hidden beneath thousands of OEM alerts. In a single week, the CAT fleet generated 23,132 OEM alerts, including 655 on one 793D haul truck making […]
Case Study: DataMind AI™ Detects Early Fuel Injector Degradation in CAT 793D Haul Truck
By Razor Labs 7 min read SHARE Overview DataMind AI™ for Mobile Fleet was deployed at a large coal mining operation to continuously monitor heavy mobile equipment in real time and deliver actionable health insights across the fleet. During routine operation, the fleet generated a very high volume of OEM alarms. In a single week, […]
Case Study: DataMind AI™ Detects Gear Friction in Compressor Gearbox, Preventing Catastrophic Failure
By Razor Labs 7 min read SHARE Overview DataMind AI™ was deployed at a vanadium mining site to monitor fixed rotating assets across production-critical systems. Among these assets was a key compressor, one of the most essential machines on site. In mid-June 2025, DataMind AI™ flagged an Alarm on the compressor’s gearbox, identifying increasing vibration […]
Case Study: Preventing Slurry Pump Motor Failure Through Early Detection with DataMind AI™
By Razor Labs 7 min read SHARE Overview Razor Labs DataMind AI™ was monitoring critical rotating equipment at a vanadium mining site, including one of the site’s main slurry pumps. This pump is a critical component in one of the site’s two parallel processing lines. A failure would have forced a shutdown of the entire […]
Case Study: DataMind AI™ Flags Hidden Friction in Lubrication Pump – Prevents Centrifuge Failure
By Razor Labs 5 min read SHARE In coal mining, high-speed centrifuges play a critical role in reducing moisture content in fine coal during the dewatering process. But these machines rely on something deceptively simple: a dedicated lubrication pump that keeps their bearings running smoothly. At one site, DataMind AI™ was deployed to monitor the […]
Case Study: DataMind AI™ Detects Lubrication Fault in Ventilation Fan
By Razor Labs 7 min read SHARE Overview Razor Labs deployed DataMind AI™ to monitor critical rotating equipment at a major coal mining site with underground operations – including a key ventilation fan essential for maintaining airflow and ensuring safe working conditions below ground. In May 2025, DataMind AI™ detected rising bearing friction through multi-sensor […]
Case Study: Detecting bearing lubrication issue in a compressor with DataMind AI™
By Razor Labs 7 min read SHARE Overview At a major coal mining site, DataMind AI™ was deployed to monitor critical equipment, including compressors essential for plant auxiliary operations. After the deployment, the system flagged one compressor’s drive-end bearing for abnormal vibration levels – well above those observed in identical units. While traditional tools may […]
Case Study Snippet: Sensor Fusion Identifies Mechanical Degradation in Sinter Fan Before Failure
By Razor Labs 5 min read SHARE Unexpected sinter fan failures in alloys production can cause major operational downtime and financial losses. To avoid these risks, a leading site implemented DataMind AI™ to monitor critical equipment in real time and flag early signs of mechanical deterioration. In early March 2025, DataMind AI™ detected elevated axial […]
