Cross-Supervised multisource prototypical network: A novel domain adaptation method for multi-source few-shot fault diagnosis

Xiao Zhang; Weiguo Huang; Chuancang Ding; Jun Wang; Changqing Shen; Juanjuan Shi

doi:10.1016/j.aei.2024.102538

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Cross-Supervised multisource prototypical network: A novel domain adaptation method for multi-source few-shot fault diagnosis

Xiao Zhang Weiguo Huang Chuancang Ding Jun Wang Changqing Shen Juanjuan Shi

Year: 2024 Journal: Advanced Engineering Informatics Vol: 61 Pages: 102538-102538 Publisher: Elsevier BV

DOI: 10.1016/j.aei.2024.102538

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Keywords:

Computer science Source code Domain (mathematical analysis) Artificial intelligence Fault (geology) Domain adaptation Pattern recognition (psychology) Multi-source Outlier Feature (linguistics) Machine learning Data mining Code (set theory) Classifier (UML) Set (abstract data type)

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Non-Destructive Testing Techniques

Physical Sciences → Engineering → Mechanical Engineering

Machine Fault Diagnosis Techniques

Physical Sciences → Engineering → Control and Systems Engineering

Domain Adaptation and Few-Shot Learning

Physical Sciences → Computer Science → Artificial Intelligence

Cross-Supervised multisource prototypical network: A novel domain adaptation method for multi-source few-shot fault diagnosis

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