Maintenance support wireless system for ram of forming presses

Abstract

In the paper, an innovative wireless system for press ram stress monitoring will be presented as component of a decision support system for predictive maintenance. This system involves low power consumption wireless nodes and energy harvesting techniques to gain autonomy for the whole solution. The monitoring systems output signals serve to extract and generate “virtual sensor” signals. These represent actual load and stress situations on locations that are crucial for machine stability but are inaccessible for real measurement or even buried inside the frame structure. In addition, the monitoring system is embedded into a networked environment of an e-maintenance cloud, linking a variety of information sources like enterprise resource planning.