Few-shot learning under domain shift: Attentional contrastive calibrated transformer of time series for fault diagnosis under sharp speed variation-Reference-Cited by-同舟云学术

Few-shot learning under domain shift: Attentional contrastive calibrated transformer of time series for fault diagnosis under sharp speed variation

Published:2023-04 Issue: Volume:189 Page:110071
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Liu Shen,Chen Jinglong,He Shuilong,Shi Zhen,Zhou Zitong

Publisher

Elsevier BV

Subject

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

Reference47 articles.

1. Deep semisupervised domain generalization network for rotary machinery fault diagnosis under variable speed;Liao;IEEE Trans. Instrum. Meas.,2020

2. X. Xie, W. Chen, B. Chen, J. Cheng, and L. Tan, “Comprehensive fatigue estimation and fault diagnosis based on Refined Generalized Multi-Scale Entropy method of centrifugal fan blades,” Measurement, vol. 166, p. 108224, Dec. 2020, 10/gkr7wg.

3. An intelligent diagnosis framework for roller bearing fault under speed fluctuation condition;Han;Neurocomputing,2021

4. Multiscale filtering reconstruction for wind turbine gearbox fault diagnosis under varying-speed and noisy conditions;Wang;IEEE Trans. Ind. Electron.,2018

5. Fault prediction via symptom pattern extraction using the discretized state vectors of multisensor signals;Baek;IEEE Trans. Ind. Inform.,2019

Cited by 21 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. An information fusion-based meta transfer learning method for few-shot fault diagnosis under varying operating conditions;Mechanical Systems and Signal Processing;2024-11

3. Multi-sensor data fusion-enabled lightweight convolutional double regularization contrast transformer for aerospace bearing small samples fault diagnosis;Advanced Engineering Informatics;2024-10

4. A new indirect transfer fault diagnosis method based on feature separation;Knowledge-Based Systems;2024-09

5. Cross-Supervised multisource prototypical network: A novel domain adaptation method for multi-source few-shot fault diagnosis;Advanced Engineering Informatics;2024-08