Machine Learning Predicts Laboratory Earthquakes

@article{RouetLeduc2017MachineLP,
  title={Machine Learning Predicts Laboratory Earthquakes},
  author={B. Rouet-Leduc and C. Hulbert and N. Lubbers and K. Barros and C. Humphreys and P. Johnson},
  journal={Geophysical Research Letters},
  year={2017},
  volume={44},
  pages={9276-9282}
}
We apply machine learning to data sets from shear laboratory experiments, with the goal of identifying hidden signals that precede earthquakes. Here we show that by listening to the acoustic signal emitted by a laboratory fault, machine learning can predict the time remaining before it fails with great accuracy. These predictions are based solely on the instantaneous physical characteristics of the acoustical signal and do not make use of its history. Surprisingly, machine learning identifies a… Expand
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