Intelligent fault diagnosis of rolling bearings based on normalized CNN considering data imbalance and variable working conditions-Reference-Cited by-同舟云学术

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Intelligent fault diagnosis of rolling bearings based on normalized CNN considering data imbalance and variable working conditions

Published:2020-07 Issue: Volume:199 Page:105971
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Zhao Bo,Zhang Xianmin,Li Hai,Yang Zhuobo

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference47 articles.

1. A recurrent neural network based health indicator for remaining useful life prediction of bearings;Guo;Neurocomputing,2017

2. Bearing fault diagnosis using fully-connected winner-take-all autoencoder;Li;IEEE Access,2018

3. A multiscale noise tuning stochastic resonance for fault diagnosis in rolling element bearings;Zhang;Chin. J. Phys.,2018

4. Statistical spectral analysis for fault diagnosis of rotating machines;Ciabattoni;IEEE Trans. Ind. Electron.,2018

5. Artificial intelligence for fault diagnosis of rotating machinery: A review;Liu;Mech. Syst. Signal Proc.,2018

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