Limited Fault Data Augmentation With Compressed Sensing for Bearing Fault Diagnosis-Reference-Cited by-同舟云学术

Limited Fault Data Augmentation With Compressed Sensing for Bearing Fault Diagnosis

Published:2023-07-01 Issue:13 Volume:23 Page:14499-14511
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Wang Dongdong¹^ORCID,Dong Yining²^ORCID,Wang Han¹^ORCID,Tang Gang¹^ORCID

Affiliation:

1. College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing, China

2. Centre for Systems Informatics Engineering, School of Data Science and Hong Kong Institute for Data Science, City University of Hong Kong, Kowloon, Hong Kong

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Early Career Research Grant by Hong Kong Institute for Data Science

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/10168680/10136604.pdf?arnumber=10136604

Reference36 articles.

1. QSCGAN: An Un-Supervised Quick Self-Attention Convolutional GAN for LRE Bearing Fault Diagnosis Under Limited Label-Lacked Data

2. Learning structured output representation using deep conditional generative models;sohn;Proc Adv Neural Inf Process Syst,2015

3. Towards Small Sample Challenge in Intelligent Fault Diagnosis: Attention Weighted Multi-depth Feature Fusion Net with Signals Augmentation

4. A conditional variational autoencoding generative adversarial networks with self-modulation for rolling bearing fault diagnosis

5. Enhanced data-driven fault diagnosis for machines with small and unbalanced data based on variational auto-encoder

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Generative artificial intelligence and data augmentation for prognostic and health management: Taxonomy, progress, and prospects;Expert Systems with Applications;2024-12

2. Research on roller bearing fault diagnosis based on robust smooth constrained matrix machine under imbalanced data;Advanced Engineering Informatics;2024-10

3. Bearing fault detection system based on a deep diffusion model;Structural Health Monitoring;2024-09-09

4. A Bearing Fault Diagnosis Method Based on Vibration Signal Extension and Time–Frequency Information Fusion Network Under Small Sample Conditions;IEEE Sensors Journal;2024-09-01

5. Zero-shot fault diagnosis of high-voltage circuit breakers: fusion of phase space reconstruction and attribute embedding methods;Measurement Science and Technology;2024-08-08