Estudio de caso: Prevención de fallas en el motor de la bomba de lodo mediante detección temprana con DataMind AI™
By Razor Labs 7 min read COMPARTIR Overview Razor Labs DataMind AI™ was monitoring critical rotating equipment at a vanadium mining site, including one of the site’s main slurry pumps. This pump is a critical component in one of the site’s two parallel processing lines. A failure would have forced a shutdown of the entire […]
Estudio de caso: DataMind AI™ detecta fricción oculta en bomba de lubricación y evita fallo de centrífuga
By Razor Labs 5 min read SHARE In coal mining, high-speed centrifuges play a critical role in reducing moisture content in fine coal during the dewatering process. But these machines rely on something deceptively simple: a dedicated lubrication pump that keeps their bearings running smoothly. At one site, DataMind AI™ was deployed to monitor the […]
Case Study: DataMind AI™ Detects Lubrication Fault in Ventilation Fan
By Razor Labs 7 min read SHARE Overview Razor Labs deployed DataMind AI™ to monitor critical rotating equipment at a major coal mining site with underground operations – including a key ventilation fan essential for maintaining airflow and ensuring safe working conditions below ground. In May 2025, DataMind AI™ detected rising bearing friction through multi-sensor […]
Estudio de Caso: Detección de Problemas de Lubricación de Rodamientos en un Compresor con DataMind AI™
By Razor Labs 7 min read SHARE Overview At a major coal mining site, DataMind AI™ was deployed to monitor critical equipment, including compressors essential for plant auxiliary operations. After the deployment, the system flagged one compressor’s drive-end bearing for abnormal vibration levels – well above those observed in identical units. While traditional tools may […]
Fragmento de Estudio de Caso: Fusión de Sensores Identifica Degradación Mecánica en Ventilador de Sinter Antes de la Falla
By Razor Labs 5 min read SHARE Unexpected sinter fan failures in alloys production can cause major operational downtime and financial losses. To avoid these risks, a leading site implemented DataMind AI™ to monitor critical equipment in real time and flag early signs of mechanical deterioration. In early March 2025, DataMind AI™ detected elevated axial […]
Case Study: DataMind AI™ Prevents Conveyor Motor Failure by Detecting Hidden Bearing Fluting
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: Detección temprana de fallas en rodamientos en una bomba crítica usando DataMind AI™
By Razor Labs 5 min read SHARE At a large power plant, a critical high-performance pump motor began showing subtle vibration behavior that conventional systems failed to detect. DataMind AI™ identified the early signs of bearing degradation through advanced real-time analysis – before any alarms were triggered or damage occurred. The insights enabled the team […]
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 […]
Caso de estudio: Detección de un desequilibrio crítico en el tambor de una centrífuga con DataMind AI™
By Razor Labs 5 min read SHARE DataMind AI™ was installed at a major coal site to monitor critical equipment, including a high-speed centrifuge essential for material separation. Any failure or imbalance could disrupt production and lead to costly downtime. Following a routine stoppage, DataMind AI™ detected an abnormal increase in vibration levels, signaling a […]
