Predictive Maintenance

Predictive maintenance (PdM) describes predictive maintenance based on the evaluation of process and machine data. The data collected by networked and intelligent machines allow forecasts for needs-based maintenance. With the help of PdM, it is possible to predict when a machine needs maintenance. The correct interpretation of sensor data from the machine (speed, load, etc.), but also information from the periphery (such as humidity or temperature), provides information about which part needs to be serviced or renewed at what time. Thus, downtime can be planned or reduced, while costs for unnecessary scheduled maintenance can be eliminated.

Prerequisites for use

Mechanics of the old machine

The mechanics of the machine in particular must still be fully functional for use. On this basis, new components from the areas of control, drive or automation can be integrated when modernising a plant or machine by means of retrofitting.

Costs for modernising the old plant, safety regulations

While this method may prove perfect for a particular machine, it may be quite different for another. It all depends on the individual case. This also applies to safety regulations, because especially in the case of retrofits, the legal situation regarding machine safety and employee protection can be complex.