Single and simultaneous fault diagnosis of gearbox via a semi-supervised and high-accuracy adversarial learning framework-Reference-Cited by-同舟云学术

Single and simultaneous fault diagnosis of gearbox via a semi-supervised and high-accuracy adversarial learning framework

Published:2020-06 Issue: Volume:198 Page:105895
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Liang Pengfei,Deng Chao,Wu Jun,Yang Zhixin,Zhu Jinxuan,Zhang Zihan

Funder

Foundation of the National Key Research and Development Plan of China

Publisher

Elsevier BV

Subject

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

Reference42 articles.

1. Evolutionary manifold regularized stacked denoising autoencoders for gearbox fault diagnosis;Yu;Knowl.-Based Syst.,2019

2. Fast nonlinear chirplet dictionary-based sparse decomposition for rotating machinery fault diagnosis under nonstationary conditions;Yang;IEEE Trans. Instrum. Meas.,2019

3. A multivariate encoder information based convolutional neural network for intelligent fault diagnosis of planetary gearboxes;Jiao;Knowl.-Based Syst.,2018

4. Deep convolutional neural network based planet bearing fault classification;Zhao;Comput. Ind.,2019

5. Convolutional neural network-based hidden Markov models for rolling element bearing fault identification;Wang;Knowl.-Based Syst.,2018

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