A comprehensive review on convolutional neural network in machine fault diagnosis-Reference-Cited by-同舟云学术

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A comprehensive review on convolutional neural network in machine fault diagnosis

Published:2020-12 Issue: Volume:417 Page:36-63
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Jiao Jinyang,Zhao Ming,Lin Jing,Liang Kaixuan

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference244 articles.

1. A manufacturing big data solution for active preventive maintenance;Wan;IEEE Trans. Ind. Inform,2017

2. An intelligent fault diagnosis method using unsupervised feature learning towards mechanical big data;Lei;IEEE Trans. Ind. Electron.,2016

3. Hierarchical discriminating sparse coding for weak fault feature extraction of rolling bearings;Jiao;Reliab. Eng. Syst. Saf.,2019

4. A novel strategy for signal denoising using reweighted SVD and its applications to weak fault feature enhancement of rotating machinery;Zhao;Mech. Syst. Signal Pr.,2017

5. Condition monitoring and fault diagnosis of planetary gearboxes: a review;Lei;Measurement,2014

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