Condition monitoring with a "digital fingerprint"
Condition monitoring with a "digital fingerprint"
Condition monitoring with a "digital fingerprint"
Condition monitoring with a "digital fingerprint"
Liebherr-Verzahntechnik GmbH now provides its customers with the most important drive and actuator data from a machine – its "digital fingerprint” – as a service to simplify and accelerate machine diagnostics. This makes condition monitoring easier and reduces maintenance costs.
Liebherr machines are diagnosed as standard before delivery to determine the original fingerprint. This individual, mechanical fingerprint of the machine provides information about its main drive axes and facilitates machine diagnostics in the event of maintenance or malfunctions. Previously, a service technician had to record the data on site or via a remote service for subsequent analysis and evaluation.
Simplified implementation of the "digital fingerprint"
To simplify and speed up machine diagnostics for the customer, Liebherr-Verzahntechnik GmbH is now introducing the "digital fingerprint" as software on the machine. This means that the customer can record the data themselves at any time, free of charge – and this can also be done before the start of a shift or at a shift handover thanks to the short recording time. Liebherr service employees can then evaluate and analyze the data and a report with recommendations on how to proceed can be quickly sent to the customer. This avoids unplanned downtimes and increases machine availability.
Taking steps toward predictive maintenance
The use of the "digital fingerprint" is a clear recommendation as part of the maintenance contract. By optimizing the coordination of maintenance and repair measures, it allows maintenance activities to be precisely synchronized. The provision of materials can also be significantly improved with the "digital fingerprint". This facilitates preventive maintenance of the machines, reduces downtime and lowers maintenance costs in the long term. How frequently data is collected can be flexibly adapted to the utilization of the machines, and this can help to extend their service life. In this way, the company is taking a further step towards predictive maintenance.
