Generalized MAML for few-shot cross-domain fault diagnosis of bearing driven by heterogeneous signals-Reference-Cited by-同舟云学术

Generalized MAML for few-shot cross-domain fault diagnosis of bearing driven by heterogeneous signals

Published:2023-11 Issue: Volume:230 Page:120696
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Lin Jian,Shao Haidong^ORCID,Zhou Xiangdong,Cai Baoping,Liu Bin

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference45 articles.

1. Dual-Threshold Attention-Guided Gan and Limited Infrared Thermal Images for Rotating Machinery Fault Diagnosis Under Speed Fluctuation;Shao;IEEE Transactions on Industrial Informatics,2023

2. Theoretical validation of earlier developed experimental rotor faults diagnosis model;Espinoza-Sepulveda;International Journal of Hydromechatronics,2021

3. Self-supervised learning for tool wear monitoring with a disentangled-variational-autoencoder;Hahn;International Journal of Hydromechatronics,2021

4. Fault diagnosis in industrial rotating equipment based on permutation entropy, signal processing and multi-output neuro-fuzzy classifier;Rajabi;Expert systems with applications,2022

5. Diagnosing rotating machines with weakly supervised data using deep transfer learning;Li;IEEE transactions on industrial informatics,2019

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