Estudio de Caso: Monitoreo en Tiempo Real de Cintas Transportadoras y Materiales. DataMind AI Detecta Problemas en los Revestimientos de la Trituradora y Previene Fallos en Equipos Posteriores.
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 […]
Estudio de Caso: Avance en la Predicción de Fallos Críticos de Molinos de Bolas con DataMind AI
In our latest article, we delve into the remarkable advancements achieved through the utilization of DataMind AI in predictive maintenance. Learn how our recent case study titled “Breakthrough in Critical Ball Mill Failure Prediction with DataMind AI” revolutionized the industry’s approach to anticipating and preventing critical failures in ball mills. Discover the fascinating insights and outcomes of this groundbreaking study.
Navegando el Futuro: Conferencia IMARC 2023 y el Camino de la Industria Minera hacia la Industria 4.0
Explore the transformative insights from the IMARC 2023 Conference, where industry leaders and innovators converge to chart the course of the mining sector’s evolution towards Industry 4.0. Learn about the latest trends, technologies, and strategies shaping the future of mining in the digital age.
Perspectivas de Mainstream 2023: La Eficiencia y la Fusión de Sensores Ocupan un Lugar Protagonista
by Razor Labs 3 min read SHARE The Mainstream Conference 2023 in Melbourne, Australia, emerged as a critical gathering for industry professionals, offering a window into the future of asset management. At the forefront of discussions were two pivotal themes: maximizing efficiency in the face of workforce challenges and the transformative potential of sensor fusion. […]
Razor Labs Amplía su Presencia en el Mercado Global con Despliegues de DataMind AI™ en Sitios Mineros de Sudáfrica y Australia
By Razor Labs 2 min read SHARE TEL AVIV, Israel, July 12, 2023 /PRNewswire/ — Razor Labs (TASE: RZR), a leading provider of predictive maintenance solutions for the mining industry, announced that during the last quarter it has significantly deepened its engagement with the world’s leading mining corporations by deploying its DataMind AI™ Predictive Maintenance platform at […]
Perspectiva Estratégica: Desmitificando el Mantenimiento Predictivo con IA en la Minería: Hechos vs. Ficción
by Tomer Srulevich 1 min read SHARE Strategic Insight: Demystifying AI Predictive Maintenance in Mining: Fact vs. Fiction In his recent keynote, the CBO of Razor Labs, Tomer Srulevich, addressed some common misconceptions that prevent mining companies from translating their Predictive Maintenance programs into tangible value. Watch this video to look at real-world examples and […]
Estudio de caso: La principal empresa minera de mineral de hierro reduce el tiempo de inactividad no programado de la flota de cintas transportadoras del puerto
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 […]
El Valor de la Detección Temprana: Previniendo Fallos en Engranajes de HPGR con Fusión de Sensores
by Peter Caldwell 4 min read SHARE What are HPGR Machines? High-Pressure Grinding Rolls (HPGR) machines are commonly used in the mining industry for comminution, which is the process of reducing the size of ore particles. HPGRs use high pressure and roller rotation to crush the ore, producing a product that is finer and more […]
Estudio de caso: La principal minera de oro reduce el tiempo de inactividad no programado de los trituradores con 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 […]
Webinar: Aprovechando todo el potencial de los programas de mantenimiento predictivo
by Michael Zolotov 4 min read SHARE Why do Predictive Maintenance Programs often fail to generate value for mining companies? Razor Labs has recently collaborated with Austmine, the leading industry association for the Australian Mining Equipment, Technology, and Services (METS) sector for a webinar “Realizing the Full Potential of Predictive Maintenance Programs”. In this webinar, […]
