Vibration Analysis in Mining: Why Going Beyond Traditional Methods Matters
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.
Razor Labs Q2 2025 Summary Newsletter
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 […]
Case Study: DataMind AI™ Detects Lubrication Fault in Ventilation Fan
By Razor Labs 5 min read SHARE At a large coal mining operation, DataMind AI™ identified early-stage friction in a ventilation fan responsible for maintaining airflow to underground areas – well before any conventional alarms were triggered. Using sensor fusion and advanced envelope analysis, the system pinpointed the root cause: a jammed grease cartridge that […]
Case Study: Detecting bearing lubrication issue in a compressor with DataMind AI™
By Razor Labs 5 min read SHARE At a coal mining site, DataMind AI™ identified abnormal vibration behavior in one of the site’s critical compressors – far above what was observed in comparable units. Rather than flagging a generic fault, the system leveraged AI-driven sensor fusion and comparative analytics to trace the issue to an […]
Case Study Snippet: Sensor Fusion Identifies Mechanical Degradation in Sinter Fan Before Failure
By Razor Labs 5 min read SHARE At a leading alloys production site, DataMind AI™ flagged early signs of mechanical degradation in a critical sinter fan – well before any traditional system raised concern. By analyzing subtle vibration behavior using sensor fusion and multi-signal inputs, the platform pinpointed a misaligned coupling and impeller imbalance caused […]
PODCAST: Razor Labs on IoT For All – AI and IoT in the Mining Industry
by Razor Labs 5 min read SHARE In this episode of the IoT For All Podcast, Razor Labs’ CTO & Co-Founder Michael Zolotov joins host Ryan Chacon to discuss how AI and IoT are reshaping predictive maintenance in one of the world’s toughest industries – mining. Michael shares how DataMind AI™ leverages multi-source sensor data […]
Razor Labs at GRX25: A Conversation on Mining Innovation with Mark Warren
by Razor Labs 3 min read SHARE In this exclusive GRX25 interview, Andrew Kaushal (VP Sales) sits down with Mark Warren, Corporate Executive Consultant at Snowden Optiro, to discuss the evolving collaboration between miners, METS, and tech providers. Together, they explore the challenges of adopting AI and predictive maintenance, and the practical steps mining companies […]
Mining Smarter: Inside Razor Labs’ Award-Winning Approach to Predictive Diagnostics and Safety
Razor Labs is an AI predictive maintenance technology company and a Triple Category Winner in the 2024 Mining Technology Excellence Awards
Case Study: DataMind AI™ Prevents Conveyor Motor Failure by Detecting Hidden Bearing Fluting
By Razor Labs 5 min read SHARE At a large coal mining operation, Razor Labs deployed DataMind AI™ to monitor multiple conveyor drives – critical components responsible for continuous material transport. Shortly after deployment, the system flagged early-stage deterioration in one of the motors. While traditional monitoring tools indicated a general bearing issue, they failed […]
PODCAST: Razor Labs on The Northern Miner – Predictive Maintenance with AI Sensor Fusion
by Razor Labs 4 min read SHARE In this episode of the Northern Miner Podcast, Michael Zolotov, CTO & Co-Founder of Razor Labs, joins host Adrian Pocobelli to discuss how AI Sensor Fusion is redefining predictive maintenance in mining. Learn how Razor Labs’ flagship product, DataMind AI, combines data from vibration sensors, oil analysis, camera feeds, […]
