Adversarial Domain Adaptation With Dual Auxiliary Classifiers for Cross-Domain Open-Set Intelligent Fault Diagnosis

Bo Wang; Meng Zhang; Hao Xu; Chongqing Wang; Wei-Yi Yang

doi:10.1109/tim.2024.3451595

ScienceGate Book Chapters

JOURNAL ARTICLE

Adversarial Domain Adaptation With Dual Auxiliary Classifiers for Cross-Domain Open-Set Intelligent Fault Diagnosis

Bo Wang Meng Zhang Hao Xu Chongqing Wang Wei-Yi Yang

Year: 2024 Journal: IEEE Transactions on Instrumentation and Measurement Vol: 73 Pages: 1-14 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/tim.2024.3451595

Get Full-Text PDF Get Analytical Report

Keywords:

Domain adaptation Computer science Dual (grammatical number) Adversarial system Domain (mathematical analysis) Artificial intelligence Set (abstract data type) Adaptation (eye) Open set Fault (geology) Pattern recognition (psychology) Machine learning Mathematics Classifier (UML)

Metrics

Cited By

4.47

FWCI (Field Weighted Citation Impact)

Refs

0.92

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Fault Detection and Control Systems

Physical Sciences → Engineering → Control and Systems Engineering

Machine Fault Diagnosis Techniques

Physical Sciences → Engineering → Control and Systems Engineering

Adversarial Domain Adaptation With Dual Auxiliary Classifiers for Cross-Domain Open-Set Intelligent Fault Diagnosis

Metrics

Citation History

Topics

Related Documents

Domain Adaptation With Multi-Adversarial Learning for Open-Set Cross-Domain Intelligent Bearing Fault Diagnosis

Open-set federated adversarial domain adaptation based cross-domain fault diagnosis

Cross-Domain Open-Set Machinery Fault Diagnosis Based on Adversarial Network With Multiple Auxiliary Classifiers

Cross-Domain Open Set Fault Diagnosis Based on Weighted Domain Adaptation with Double Classifiers

Dual adversarial network for cross-domain open set fault diagnosis