Case Study: Centrifugal Oil Filter Restriction Detected by DataMind AI in Komatsu 930E
By Razor Labs 5 min read SHARE Engine lubrication system restrictions in mining haul trucks can silently degrade oil quality and accelerate internal engine wear. When standard filter replacements fail to resolve pressure anomalies, the root cause often lies in secondary filtration components that are not part of routine service procedures. DataMind AI continuously monitors […]
Case Study: Air Intake System Degradation Detected by DataMind AI in Komatsu 930E
By Razor Labs 5 min read SHARE Air intake and exhaust system degradation in mining haul trucks leads to incomplete combustion, excessive soot formation, and accelerated engine wear. When multiple intake and exhaust parameters deteriorate simultaneously, the compounding effects can rapidly escalate toward engine failure. DataMind AI continuously monitors oil analysis soot and combustion indicators, […]
Case Study: Differential Lube Pressure Deficiency Detected in CAT 793D
By Razor Labs 5 min read SHARE DataMind AI continuously monitors differential lubrication pressure, OEM alarm events, filter condition indicators, and rear axle system performance on a CAT 793D haul truck. The system detected two low differential lubrication pressure alarms, combined with numerous differential filter switch alarms indicating clogging. Pressure telemetry showed an average differential […]
AI Predictive Maintenance for Haul Trucks: The Future of Mining Fleet Management
By Razor Labs 8 min read SHARE Estimate ROI Using Your Fleet Data We can model the potential savings for your specific fleet composition and operating conditions. Request a fleet assessment → [IMAGE: DataMind AI detection graph showing early failure warning] How AI Is Changing Mining Fleet Management Mobile fleet maintenance accounts for 40-60% of […]
Estudio de caso: Prevención de fallas en el motor de la bomba de lodo mediante detección temprana con DataMind AI™
By Razor Labs 7 min read COMPARTIR 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 […]
PODCAST: Razor Labs en ‘Dig Deep Mining Podcast’ – Cómo la IA está cambiando las operaciones mineras
by Razor Labs 5 min read SHARE In this episode of the Dig Deep Mining Podcast, Razor Labs’ CTO & Co-Founder, Michael Zolotov, joins host Rob Tyson to explore how artificial intelligence is reshaping predictive maintenance in the global mining sector. Michael shares the story behind Razor Labs’ flagship product, DataMind AI™, and how it […]
Estudio de caso: DataMind AI™ detecta fricción oculta en bomba de lubricación y evita fallo de centrífuga
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 […]
Webinar: Decisiones de Mantenimiento Basadas en Datos – Lecciones de Implementaciones en Minería del Carbón
by Razor Labs 6 min read SHARE Smarter Maintenance in Coal Mining with DataMind AI™ Predictive maintenance in coal mining is challenging – high loads, abrasive materials, and remote environments create a perfect storm for unplanned downtime. In this recorded webinar, produced in collaboration with Austmine, we explore how DataMind AI™ is helping operations move […]
Análisis de Vibraciones en Minería: Por Qué Superar los Métodos Tradicionales es Importante
Predictive maintenance is equipment maintenance that is based on the ability to predict equipment failures, by leveraging real-time data from various sensors and applying AI algorithms.
Boletín Resumen de Razor Labs – Segundo Trimestre 2025
By Razor Labs 5 min read SHARE We’re proud to share Razor Labs‘ highlights from Q2 2025 – a quarter marked by strategic growth, real-world impact, and deeper global engagement. Powered by AI and guided by our mission to advance predictive maintenance, we continue to turn insights into action. From award-winning innovation to new deployments and field […]
