Dataset For Sensorless Drive Diagnosis
M. Bator, Dataset For Sensorless Drive Diagnosis, Zenodo, 2015.
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Abstract
Electric current drive signals are measured. The drive has intact and defective components. This results in 11 different classes with different conditions. Each condition has been measured several times by different operating conditions, this means by different speeds, load moments and load forces. The current signals are measured with a current probe and an oscilloscope on two phases.
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Bator M. Dataset For Sensorless Drive Diagnosis. Zenodo; 2015. doi:10.5281/ZENODO.35577
Bator, M. (2015). Dataset For Sensorless Drive Diagnosis. Zenodo. https://doi.org/10.5281/ZENODO.35577
Bator M (2015) Dataset For Sensorless Drive Diagnosis. Zenodo.
Bator, Martyna. Dataset For Sensorless Drive Diagnosis. Zenodo, 2015. https://doi.org/10.5281/ZENODO.35577.
Bator, Martyna. 2015. Dataset For Sensorless Drive Diagnosis. Zenodo. doi:10.5281/ZENODO.35577, .
Bator, Martyna: Dataset For Sensorless Drive Diagnosis : Zenodo, 2015
M. Bator, Dataset For Sensorless Drive Diagnosis, Zenodo, 2015.
M. Bator, Dataset For Sensorless Drive Diagnosis. Zenodo, 2015. doi: 10.5281/ZENODO.35577.
Bator, Martyna. Dataset For Sensorless Drive Diagnosis. Zenodo, 2015, https://doi.org/10.5281/ZENODO.35577.
Bator, Martyna: Dataset For Sensorless Drive Diagnosis, o. O. 2015.
Bator M. Dataset For Sensorless Drive Diagnosis. Zenodo; 2015.
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