Predicting Defective Engines using Convolutional Neural Networks on Temporal Vibration Signals

Nikou Günnemann, Jürgen Pfeffer. Predicting Defective Engines using Convolutional Neural Networks on Temporal Vibration Signals. In First International Workshop on Learning with Imbalanced Domains: Theory and Applications, LIDTA@PKDD/ECML 2017, 22 September 2017, Skopje, Macedonia. Volume 74 of Proceedings of Machine Learning Research, pages 92-102, PMLR, 2017. [doi]

@inproceedings{GunnemannP17-0,
  title = {Predicting Defective Engines using Convolutional Neural Networks on Temporal Vibration Signals},
  author = {Nikou Günnemann and Jürgen Pfeffer},
  year = {2017},
  url = {http://proceedings.mlr.press/v74/g%C3%BCnnemann17a.html},
  researchr = {https://researchr.org/publication/GunnemannP17-0},
  cites = {0},
  citedby = {0},
  pages = {92-102},
  booktitle = {First International Workshop on Learning with Imbalanced Domains: Theory and Applications, LIDTA@PKDD/ECML 2017, 22 September 2017, Skopje, Macedonia},
  volume = {74},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}