Gear Grinding Monitoring based on Deep Convolutional Neural Networks

Author:

Liu Chenyu,Mauricio Alexandre,Chen Zhuyun,Declercq Katrien,Meerten Yannick,Vonderscher Yann,Gryllias Konstantinos

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference17 articles.

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2. Multisensor feature fusion for bearing fault diagnosis using sparse autoencoder and deep belief network;Chen;IEEE Transactions on Instrumentation and Measurement,2017

3. Defferrard, M., Bresson, X., and Vandergheynst, P. (2016). Convolutional neural networks on graphs with fast localized spectral filtering. In Advances in neural information processing systems, 3844–3852.

4. Fanioudakis, E., Geismar, M., and Potamitis, I. (2018). Mosquito wingbeat analysis and classification using deep learning. In 2018 26th European Signal Processing Conference (EUSIPCO), 2410-2414. IEEE.

5. Object-oriented image analysis using the cnn universal machine: new analogic cnn algorithms for motion compensation;Grassi;image synthesis, and consistency observation. IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications,2003

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