Estudio de caso: DataMind AI™ previene fallas en motores de cintas transportadoras detectando estrías ocultas en los rodamientos.

By Razor Labs 5 min read SHARE Overview At a large coal mining site, DataMind AI™ was deployed to monitor multiple conveyor drive motors – critical components in the site’s material handling process. Shortly after deployment, the system flagged early-stage deterioration in one of the motor bearings. While traditional monitoring tools recognized this as a […]

Extracto de caso de estudio: La IA visual detecta el desgaste del revestimiento de la trituradora y previene riesgos de producción

By Razor Labs 5 min read SHARE Discover how DataMind AI™ Visual AI Monitoring helped a ferroalloy site identify subtle material flow anomalies after the jaw crusher – well before visible failure signs appeared.   Through continuous monitoring of size distribution trends, the system provided early, actionable insights that enabled proactive maintenance during planned downtime […]

Caso de estudio: DataMind AI™ previene la falla del ventilador de sinterización al detectar problemas de lubricación y aflojamiento mecánico

By Razor Labs 5 min read SHARE DataMind AI™ was deployed at a chrome smelter to monitor critical assets, including sinter fans responsible for maintaining airflow and process stability during the sintering stage. Any failure in these fans can cause serious disruption to production. DataMind AI™ identified early signs of lubrication degradation and mechanical looseness […]