Collaborative fault diagnosis of rotating machinery via dual adversarial guided unsupervised multi-domain adaptation network

Xingkai Chen; Haidong Shao; Yiming Xiao; Shen Yan; Baoping Cai; Bin Liu

doi:10.1016/j.ymssp.2023.110427

ScienceGate Book Chapters

JOURNAL ARTICLE

Collaborative fault diagnosis of rotating machinery via dual adversarial guided unsupervised multi-domain adaptation network

Xingkai Chen Haidong Shao Yiming Xiao Shen Yan Baoping Cai Bin Liu

Year: 2023 Journal: Mechanical Systems and Signal Processing Vol: 198 Pages: 110427-110427 Publisher: Elsevier BV

DOI: 10.1016/j.ymssp.2023.110427

Get Full-Text PDF Get Analytical Report

Keywords:

Classifier (UML) Computer science Adversarial system Subnet Artificial intelligence Domain adaptation Domain (mathematical analysis) Machine learning Dual (grammatical number) Adaptation (eye) Pattern recognition (psychology) Data mining Computer network

Metrics

215

Cited By

53.50

FWCI (Field Weighted Citation Impact)

Refs

1.00

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Machine Fault Diagnosis Techniques

Physical Sciences → Engineering → Control and Systems Engineering

Non-Destructive Testing Techniques

Physical Sciences → Engineering → Mechanical Engineering

Nuclear Materials and Properties

Physical Sciences → Materials Science → Materials Chemistry

Collaborative fault diagnosis of rotating machinery via dual adversarial guided unsupervised multi-domain adaptation network

Metrics

Citation History

Topics

Related Documents

A dynamic collaborative adversarial domain adaptation network for unsupervised rotating machinery fault diagnosis

Internal adversarial guided unsupervised multi-domain adaptation network for collaborative fault diagnosis of bearing

Weighted multi-source domain unsupervised adaptive network for rotating machinery fault diagnosis based on dual adversarial

A trackable multi-domain collaborative generative adversarial network for rotating machinery fault diagnosis

Clustering-Guided Novel Unsupervised Domain Adversarial Network for Partial Transfer Fault Diagnosis of Rotating Machinery