Caso de estudio: DataMind AI™ identifica daños en los dientes del engranaje de un molino de bolas y garantiza la continuidad operativa

By Razor Labs 5 min read SHARE DataMind AI™ was installed at an iron ore mining site in Australia to monitor critical equipment, including the Ball Mill. The site had historically faced recurring gearbox failures, leading to costly unplanned downtime and safety risks. Shortly after installation, DataMind AI™ flagged the Ball Mill gearbox with an “Alarm” […]

Estudio de Caso: DataMind AI Detecta el Deterioro de la Caja de Cambios del Compresor, Minimiza el Tiempo de Paro

Compressor Condition Monitoring Mining

By Razor Labs 5 min read SHARE DataMind AI is a robust maintenance and diagnostic solution that offers automated failure detection, diagnosis, and prescriptive actions. Deployed at a vanadium ore production site, DataMind AI monitors multiple machines, including the compressor gearbox. The case study highlights how DataMind AI’s unique spectral trend, cleaned by operation mode […]

Estudio de Caso: DataMind AI Detecta Fallo en la Cinta Transportadora del Apilador, Previniendo Paradas No Planificadas

By Razor Labs 5 min read SHARE This case study details how DataMind AI preempted a significant failure at an iron ore facility that went undetected by traditional methods, preventing costly unplanned downtime. This incident highlights the indispensable role of DataMind AI predictive maintenance platform in high-stakes environments like iron ore processing. DataMind AI’s advanced […]

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.

conveyor belt monitoring

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.

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 […]

Estudio de caso: La principal minera de oro reduce el tiempo de inactividad no programado de los trituradores con DataMind AI

gold miner crusher case study

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 […]