What is it about?
Method to estimate the remaining useful lifetime of journal bearings with a statistical model. The data of a physics-based mixed-elastohydrodynamic plus wear simulation are coupled with Bayesian-inference-based statistical model to predict the wear volume including uncertainty such as variance.
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Photo by Vadym Alyekseyenko on Unsplash
Why is it important?
A machine is only as good or bad as its bearings
Perspectives
This helps the trend of building digital twins for degradation monitoring.
Florian König
RWTH Aachen University
Read the Original
This page is a summary of: Bayesian inference-based wear prediction method for plain bearings under stationary mixed-friction conditions, Friction, December 2023, Tsinghua University Press,
DOI: 10.1007/s40544-023-0814-y.
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