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Paderborn University Bearing Dataset

The Paderborn University dataset is a vibration and motor current signal dataset used for bearing fault classification. It contains vibration and motor current signal data from 32 bearings with artificially induced single point faults.

Data and Resources

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Cite this as

Christian Lessmeier, James Kuria Kimotho, Detmar Zimmer, Walter Sextro (2024). Dataset: Paderborn University Bearing Dataset. https://doi.org/10.57702/h4gb3nzj

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It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field	Value
Created	December 17, 2024
Last update	December 17, 2024
Defined In	https://doi.org/10.48550/arXiv.2010.02146
Author	Christian Lessmeier
More Authors	James Kuria Kimotho Detmar Zimmer Walter Sextro
Homepage	https://www.paderborn-university.de/en/research-institutes/ics-4-institute-for-communication-and-control-systems/paderborn-university-benchmark-dataset-for-bearing-fault-detection.html