Ensemble Augmentation for Deep Neural Networks Using 1-D Time Series Vibration Data. (arXiv:2108.03288v2 [cs.LG] UPDATED)

Time-series data are one of the fundamental types of raw data representation
used in data-driven techniques. In machine condition monitoring, time-series
vibration data are overly used in data mining for deep neural networks.
Typically, vibration data is converted into images for classification using
Deep Neural Networks (DNNs), and scalograms are the most effective form of
image representation. However, the DNN classifiers require huge labeled
training samples to reach their optimum performance. So, many forms of data
augmentation techniques are applied …

arxiv augmentation data ensemble networks neural networks time time series