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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

Cite this as

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

DOI retrieved: December 17, 2024

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
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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