Feature-level consistency regularized Semi-supervised scheme with data augmentation for intelligent fault diagnosis under small samples-Reference-Cited by-同舟云学术

Feature-level consistency regularized Semi-supervised scheme with data augmentation for intelligent fault diagnosis under small samples

Published:2023-11 Issue: Volume:203 Page:110747
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Zhang Tianci,Li Chao^ORCID,Chen Jinglong,He Shuilong,Zhou Zitong

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference33 articles.

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4. A Novel Deep Learning Network via Multiscale Inner Product With Locally Connected Feature Extraction for Intelligent Fault Detection;Pan;IEEE Trans. Ind. Informatics.,2019

5. LiftingNet: A Novel Deep Learning Network with Layerwise Feature Learning from Noisy Mechanical Data for Fault Classification;Pan;IEEE Trans. Ind. Electron.,2018

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