A Machine Learning Dataset of Artificial Inner Ring Damage on Cylindrical Roller Bearings Measured Under Varying Cross-Influences

In practical machine learning (ML) applications, covariate shifts and dependencies can significantly impact model robustness and prediction quality, leading to performance degradation under distribution shifts. In industrial settings, it is crucial to account for covariates during the design of expe...

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Bibliographic Details
Main Authors: Christopher Schnur, Payman Goodarzi, Yannick Robin, Julian Schauer, Andreas Schütze
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Data
Subjects:
Online Access:https://www.mdpi.com/2306-5729/10/5/77
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