What is predictive maintenance?

Three Maintenance Strategies

• Run-to-failure — fix it when it breaks. Highest cost, most downtime.
• Preventive — fix it on a schedule regardless of condition. Moderate cost, unnecessary maintenance.
• Predictive — fix it when sensors show wear. Lowest cost, minimal downtime.

How It Works

Sensors on critical equipment (vibration, temperature, pressure, current) generate continuous data. Machine learning models learn the normal operating pattern. When the pattern changes, the system alerts maintenance teams that wear is occurring — typically 5-24 days before failure.

Proven Results

VLTHRLAB tested predictive maintenance on 8 public datasets with AUC up to 1.000, zero false alarms on cross-dataset transfer, and 86% cost reduction in digital twin simulation.

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