Predictive maintenance: failure prediction, proactive replacement, spare part optimization

From Reactive to Predictive Maintenance

Traditional telecom maintenance is reactive — equipment runs until it fails, then field teams are dispatched for emergency repair. Some operators practice preventive maintenance with scheduled replacement cycles, but this replaces functioning equipment unnecessarily. Predictive maintenance uses ML models trained on equipment telemetry — temperature trends, power amplifier output drift, voltage fluctuations, fan speed anomalies, and error counter patterns — to predict failures 2-4 weeks before they occur. This advance warning transforms maintenance from emergency firefighting into planned…