Estudio de caso: Prevención de fallas en el motor de la bomba de lodo mediante detección temprana con DataMind AI™
marzo 4, 2026
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 line, resulting in the loss of 50% of the site’s production capacity.
From the moment of deployment, DataMind AI™ flagged the pump motor as ״Alarm״, due to abnormally high and consistent friction indicators. Despite no operational symptoms at that stage, such as temperature increase or pressure drop – the system identified irregular vibration and friction patterns not typical for this pump.
The site team verified that the lubrication system was functioning correctly, and when no improvement was observed, they reduced the pump load to 60% in an attempt to stabilize its condition and prolong its life. DataMind AI™, however, continued reporting abnormal friction. These AI-driven insights prompted the team to order spare parts in advance. Toward the end of the month, when the parts arrived, the team conducted a planned shutdown and replaced the motor. Upon removal, a visible crack was discovered in the motor shaft – validating the early warning and confirming that failure had been imminent.
DataMind AI Diagnostic Methology
Detection & Diagnosis
DataMind AI™ monitored and classified the pump motor as high-risk based on:
- Persistently high-frequency vibration across all loads, indicative of friction
- Current and speed indicate that the motor was not operating under high load
Diagnosis
- Cylinder 6: Peaked at 580°C prior to cylinder head replacement; decreased to ~530°C
- Cylinder 7: Reached 570°C; showed minimal improvement post-repair
- Even after repairs, exhaust temperatures in cylinders 6 and 7 stayed high – showing the engine was still not combusting fuel properly
- Cylinder 13: Showed abnormally low and unstable exhaust temperatures, dropping from ~474°C to ~370°C
These thermal behaviors suggested incomplete combustion and injector malfunction. Cylinder 13 had not been monitored by the site team, and yet showed the clearest sign of deeper issues.
Before vs. After Replacement – Friction Resolved
Before replacement: Persistent high vibration levels linked to friction, even under reduced load
After replacement: Vibration levels returned to nominal ranges expected for this pump type
Action & Follow-Up
Based on DataMind AI™ recommendations, Cylinder 13 was flagged for replacement.
After the intervention, exhaust temperatures stabilized, validating the diagnosis and resolving the combustion imbalance.
Results
- Zero unplanned downtime
- Early detection of combustion imbalance, before damage occurred
- Continuous production maintained without engine disruption
- Avoided unnecessary repairs by surfacing hidden issues
- Improved team confidence and diagnostic accuracy
Summary
This case highlights how DataMind AI™ delivers early, high-confidence fault detection that traditional OEM
systems miss.
By continuously analyzing live sensor data and correlating it with mechanical behavior, the platform uncovered a hidden combustion fault, before any alerts were triggered.
The result: $190,000 in avoided repairs, 20 hours of production saved, and zero unplanned downtime.
