TSN: A novel intelligent fault diagnosis method for bearing with small samples under variable working conditions-Reference-Cited by-同舟云学术

TSN: A novel intelligent fault diagnosis method for bearing with small samples under variable working conditions

Published:2023-12 Issue: Volume:240 Page:109575
ISSN:0951-8320
Container-title:Reliability Engineering & System Safety
language:en
Short-container-title:Reliability Engineering & System Safety

Author:

Shi Peiming^ORCID,Wu Shuping,Xu Xuefang,Zhang Bofei,Liang Pengfei,Qiao Zijian

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality

Reference34 articles.

1. Dual-threshold attention-guided gan and limited infrared thermal images for rotating machinery fault diagnosis under speed fluctuation;Shao;IEEE Trans Ind Inf,2023

2. A multi-layer spiking neural network-based approach to bearing fault diagnosis;Zuo;Reliab Eng Syst Saf,2022

3. Correlation feature distribution matching for fault diagnosis of machines;Tan;Reliab Eng Syst Saf,2023

4. Multisensor bearing fault diagnosis based on one-dimensional convolutional long short-term memory networks;Hao;Measurement,2020

5. Fractional Fourier and time domain recurrence plot fusion combining convolutional neural network for bearing fault diagnosis under variable working conditions;Bai;Reliab Eng Syst Saf,2023

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1. Reserving embedding space for new fault types: A new continual learning method for bearing fault diagnosis;Reliability Engineering & System Safety;2024-12

2. ReF-DDPM: A novel DDPM-based data augmentation method for imbalanced rolling bearing fault diagnosis;Reliability Engineering & System Safety;2024-11

3. ParInfoGPT: An LLM-based two-stage framework for reliability assessment of rotating machine under partial information;Reliability Engineering & System Safety;2024-10

4. Fault diagnosis method for bearings under variable working conditions based on transfer relation network;Measurement Science and Technology;2024-09-09

5. Contrast learning with hard example mining for few-shot fault diagnosis of rolling bearings;Measurement Science and Technology;2024-07-19