Detection of Pitting in Gears Using a Deep Sparse Autoencoder

@inproceedings{Qu2017DetectionOP,
  title={Detection of Pitting in Gears Using a Deep Sparse Autoencoder},
  author={Yongzhi Qu and Miao He and J. Charlie Deutsch and D. He},
  year={2017}
}
In this paper; a new method for gear pitting fault detection is presented. The presented method is developed based on a deep sparse autoencoder. The method integrates dictionary learning in sparse coding into a stacked autoencoder network. Sparse coding with dictionary learning is viewed as an adaptive feature extraction method for machinery fault diagnosis. An autoencoder is an unsupervised machine learning technique. A stacked autoencoder network with multiple hidden layers is considered to… CONTINUE READING

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