Overview
In food production, an unexpected failure can mean lost batches, broken cold chain or food safety risk. The cost is much more than the repair.
Predictive maintenance monitors parameters such as vibration, bearing temperature, motor current, pressure and flow to identify abnormal behaviour early.
The goal is planned intervention with the right spare parts before failure, not heroic repair after production has stopped.
Technical point: How vibration, temperature, current and pressure data reveal failures before they stop production.