Glossar

Predictive maintenance refers to a proactive maintenance strategy in which condition data from machines and equipment is used to identify maintenance needs at an early stage. The goal is to prevent breakdowns, plan maintenance measures in a targeted manner, and increase the availability of technical systems.

In logistics and automation, sensors, measurement systems, and data analysis are used for this purpose. Operational data such as runtime, temperatures, vibrations, or error messages are continuously evaluated to detect changes and potential malfunctions early on. Predictive maintenance enables needs-based maintenance of conveyor systems, measurement systems, and automated equipment, thereby supporting stable processes.

Practical example:
An automated conveyor system uses operational data to detect increased wear on a component at an early stage and triggers a scheduled maintenance task.

See also: Automation, Data Analysis, Maintenance, Sensor Technology, System Integration, Validation, Servicing, Condition Monitoring