• Corpus ID: 236956875

Ensemble Augmentation for Deep Neural Networks Using 1-D Time Series Vibration Data

@article{Faysal2021EnsembleAF,
  title={Ensemble Augmentation for Deep Neural Networks Using 1-D Time Series Vibration Data},
  author={Atik Faysal and Ngui Wai Keng and Michael H. Lim},
  journal={ArXiv},
  year={2021},
  volume={abs/2108.03288}
}
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… 

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