Multi-feature fusion for fault diagnosis of rotating machinery based on convolutional neural network
Author:
Publisher
Elsevier BV
Subject
Computer Networks and Communications
Reference30 articles.
1. A novel deep autoencoder feature learning method for rotating machinery fault diagnosis;Shao;Mech. Syst. Signal Process.,2017
2. Condition monitoring and fault diagnosis of low-frequency motors-a review;Nandi;IEEE Trans. Energy. Conv.,2005
3. Bearing vibration detection and analysis using enhanced fast fourier transform algorithm;Lin;Adv. High-freq. Eng.,2016
4. The empirical mode decomposition and the hilbert spectrum for nonlinear and non-stationary time series analysis;Huang;Proc. R. Soc. Lond. Ser. A Math. Phys. Eng. Sci.,1998
5. PCA-based feature selection scheme for machine defect classification;Malhi;IEEE Trans. Instrum. Meas.,2004
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