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Demonstrator for Predictive Maintenance and Condition Monitoring

06.04.2023

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A mobile CNC machine equipped with various microsensors is used as a demonstrator for predictive maintenance and condition monitoring. The demonstrator employs sensors that capture sound and acceleration data. Those are subjected to feature analysis and machine learning techniques to monitor machine conditions and to detect potential faults.
The demonstrator shows the technology developed in the project, which represents a toolbox for multi-sensor condition monitoring and can be used for retrofitting. It consists of a mobile CNC machine (in a housing), sensors attached to the spindle, and a computer to control the CNC machine and perform data analysis.

Visit us at booth 1-317/1 and get into touch with our scientists about YOUR specific measurement tasks. The iCampus Cottbus team is looking forward to meeting you!

Platz der Deutschen Einheit 1

03046 Cottbus

Deutschland

+49 355 69-3336

https://www.b-tu.de

Halle 1 Stand 1-317/1

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