Predictive Maintenance
Predictive maintenance is a modern concept that is closely linked to the Industrial Internet of Things (IIot). The underlying idea is that there is a tremendous potential to optimize industrial processes and reduce costs by moving from a schedule-based “preventive” maintenance to a “predictive” maintenance model. The established preventive maintenance model is purely schedule-based and is not related to the actual individual situation of a piece of equipment or field device. In contrast, predictive maintenance directly integrates real-time status data and condition monitoring of hardware or field devices. The core challenge is not only to collect the available sensor data, but also to correctly interpret it correctly in order to generate an applicable status report. With a successful implementation of predictive maintenance, cost-intensive maintenance activities can be optimized and carried out on time and on demand. This is achieved through state-of-the-art status sensors installed in the equipment and field devices, modern communication features (e.g. OPC UA, Bluetooth, 5G) and reliable, intelligent and self-learning algorithms.