Predictive maintenance from SICK makes it possible to detect and prevent machine and plant failures early on and in a proactive manner. This is done on the basis of current and already-evaluated data from which future advancement in sensor, machine and plant states can be predicted using intelligent algorithms and logic. Predictive maintenance therefore ensures regulated operational processes. Intervening in ongoing machine or plant processes is only necessary in the event of faults. Fixed maintenance schedules are therefore a thing of the past and only damaged and faulty device components need replacing. This saves money and improves operational processes.
At a glance
Specific prediction of the probability of occurrence of defined events
Algorithms which make predictions based the comparison of current and historical data
Notifications of future machine and plant events on various end devices
Integration of sensor, machine and peripheral data