gsmkbr / Bearing_Fault_DiagnosisLinks
This project attempts to identify nine different faults and the healthy condition based on vibrational dataset of bearings. For this purpose, the original time series signals are transformed into 2D wavelet maps. Due to few number of wavelet maps, a pretrained convolutional network (VGG16) is transfered to the deep neural network model. By freez…
☆13Updated 3 years ago
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