NEWS 28 February 2023

A mechatronic Machine Learning case

To date, Machine Learning (ML) has found only relatively limited implementation in high-end mechatronic systems. To test its capabilities in a real industrial application, the challenging case of friction estimation was investigated.


A model was developed for predicting frictional properties of linear ball bearings, for very small displacements, as explained in this Mikroniek article. The resulting ML model performed well during training and validation, but rather less so in stand-alone operation. ML is a promising tool for friction estimation, but clearly there is room for improvement in algorithm development. (Image courtesy of Jorn Veenendaal)


References

May 30 DSPE Knowledge day…

Please be invited to the upcoming DSPE Knowledge Day at Settels Savenije Eindhoven.

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Lunch lecture May hosted by…

Precision in roll -2- roll electronics

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YPN visited Kulicke & Soffa…

The Young Precision Network (YPN) - part of the DSPE community - organises events for young professionals and students. On Thursday February 1st, YPN organised a visit to Kulicke & Soffa in Eindhoven.

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