AI in Automotive
Manufacturing & Quality
Manufacturing & Qualitypredictive maintenanceUS

Predictive Maintenance on a High-Tonnage Stamping Press

15 June 2026

Vibration and acoustic telemetry fed an anomaly model that predicted bearing failure on a stamping press ~11 days ahead, converting unplanned stoppages into scheduled maintenance windows.

The plant instrumented a critical stamping press with vibration and acoustic sensors, streaming telemetry to a time-series anomaly model.

The model learned the press's healthy signature and surfaced deviations that preceded bearing wear, giving roughly 11 days of lead time.

Unplanned line stoppages on the press dropped sharply as failures were pulled into scheduled maintenance windows.

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