Zustandsüberwachung

Zustandsüberwachung, often translated as condition monitoring, is a maintenance strategy that involves observing the condition of an asset in order to detect and diagnose faults or incipient failures. The primary goal is to prevent unexpected breakdowns and optimize maintenance schedules. This approach shifts from time-based or reactive maintenance to condition-based maintenance, where interventions are performed only when necessary based on the actual state of the equipment.

The process typically involves collecting data through various sensors that measure parameters such as vibration, temperature, pressure, oil analysis, and electrical characteristics. These data are then analyzed to identify deviations from normal operating conditions. Advanced techniques like trend analysis, spectral analysis, and artificial intelligence can be employed to interpret the data and predict potential failures.

Benefits of Zustandsüberwachung include reduced downtime, lower maintenance costs by avoiding unnecessary preventive actions, extended equipment lifespan, and improved safety by preventing catastrophic failures. It is widely applied across industries such as manufacturing, energy, transportation, and aerospace for critical machinery like pumps, turbines, engines, and electrical systems. Effective implementation requires careful selection of monitoring techniques, reliable data acquisition, and skilled personnel for analysis and interpretation.