Predictive Maintenance for Mining Equipment: The Complete 2026 Guide
By Razor Labs 22 min read SHARE The haul truck you’re relying on today was probably sending you warning signals three weeks ago. Not through an alarm. Through its data – coolant temperature trending two degrees above baseline, oil pressure holding just below normal, a vibration pattern shifting across the gearbox that no scheduled inspection […]
Insufficient Engine Cool-Down Detected by DataMind AI in GHH SLP5 LHD
By Razor Labs 5 min read SHARE Turbocharger and cylinder head longevity in underground LHDs depends on correct shutdown procedure. Without adequate cool-down time, residual heat soaks into the turbocharger centre housing and cylinder head, degrading oil and accelerating component wear. DataMind AI continuously monitors engine thermal behavior and operational patterns, enabling early detection of […]
Razor Labs Q2 2026 Summary Newsletter
By Razor Labs 5 min read SHARE AI in Mining Keeps Moving Forward Q2 marked another important step in our journey to make predictive maintenance more practical, scalable, and impactful across the mining industry. From global recognition and product innovation to real-world deployments and measurable results in the field, here’s a look at what shaped […]
Aftercooler Core Degradation Detected by DataMind AI in Komatsu 930E
By Razor Labs 5 min read SHARE Aftercooler and charge-air system failures in large mining haul trucks reduce engine air density, increase combustion temperatures, and accelerate component wear across multiple engine systems. These failures often develop gradually and can be masked when individual parameters remain within their alert thresholds. DataMind AI continuously monitors intake manifold […]
Predictive Maintenance That Works: From First Signal to Closed Work Order – GRX26 Workshop
Predictive Maintenance That Works: From First Signal to Closed Work Order – GRX26 Workshop By Razor Labs 6 min read SHARE At GRX26, Tomer Srulevich, Chief Business Officer at Razor Labs, and Andrew Kaushal, VP Sales APAC, led a workshop exploring why predictive maintenance initiatives continue to struggle despite the growing number of monitoring systems […]
Transmission Return Circuit Resistance Detected in GHH SLP5 LHD
By Razor Labs 5 min read SHARE Transmission system failures in underground LHDs can cause sudden production loss, loss of directional control, and equipment damage that is costly to recover from in confined underground environments. DataMind AI continuously monitors multi-signal transmission behavior, enabling early detection of resistance buildup before it escalates into failure. In this […]
Front Brake Overheating Identified via Temperature Differential Analysis in CAT 793D
By Razor Labs 5 min read SHARE DataMind AI continuously monitors brake temperature differentials, ARC system status, and brake component condition on a CAT 793D haul truck. Over the last two months, the front brake temperature difference consistently exceeded normal thresholds, with values beyond -25C recorded against a normal limit of -15C. Telemetry data revealed […]
Yahoo Finance Covers Razor Labs’ 2026 Gold Globee Award Win
Razor Labs’ 2026 Globee Gold Award win was featured on Yahoo Finance, highlighting the company’s AI-powered mobile fleet solution and its impact on mining operations worldwide.
Razor Labs Wins 2026 Gold Globee® Award for AI Innovation in Mining Fleet Reliability
Razor Labs is an AI predictive maintenance technology company and a Triple Category Winner in the 2024 Mining Technology Excellence Awards
Aftercooler and Turbocharger Degradation Detected by DataMind AI in Komatsu 930E
By Razor Labs 5 min read SHARE Air intake and exhaust system failures in large haul trucks can silently degrade engine performance, leading to power loss and accelerated wear. DataMind AI continuously monitors intake manifold temperatures, turbocharger boost pressures, oil analysis results, air filter conditions, and maintenance records, enabling early detection of developing issues across […]