Edge Impulse Inc. / AC Motor Fault Detection Public

Edge Impulse Inc. / AC Motor Fault Detection

Detect bearing failure, axis inclination, and shaft misalignment faults for two phase AC motors. Data obtained from the Dataset for Sensorless Drive Diagnosis by Martyna Bator. 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. source: https://zenodo.org/record/35577#.YQFb9FNKgpV

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Title Type Size
MFE training data NPY file 7480 windows
MFE training labels NPY file 7480 windows
MFE testing data NPY file 440 windows
MFE testing labels NPY file 440 windows
NN Classifier model TensorFlow Lite (float32) 106 KB
NN Classifier model TensorFlow Lite (int8 quantized) 34 KB
NN Classifier model TensorFlow Lite (int8 quantized with float32 input and output) 34 KB
NN Classifier model TensorFlow SavedModel 114 KB

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Summary

Data collected
14m 40s

Project info

Project ID 43832
Project version 4
License No license attached