Dual prototypical contrastive network: a novel self-supervised method for cross-domain few-shot fault diagnosis

Xiao Zhang; Weiguo Huang; Rui Wang; Jun Wang; Changqing Shen

doi:10.1007/s10845-023-02237-7

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Dual prototypical contrastive network: a novel self-supervised method for cross-domain few-shot fault diagnosis

Xiao Zhang Weiguo Huang Rui Wang Jun Wang Changqing Shen

Year: 2023 Journal: Journal of Intelligent Manufacturing Vol: 36 (1)Pages: 475-490 Publisher: Springer Science+Business Media

DOI: 10.1007/s10845-023-02237-7

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Keywords:

Discriminative model Computer science Artificial intelligence Domain (mathematical analysis) Fault (geology) Machine learning Matching (statistics) Pattern recognition (psychology) Dual (grammatical number) Contrast (vision) Data mining Mathematics

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Machine Fault Diagnosis Techniques

Physical Sciences → Engineering → Control and Systems Engineering

Ultrasonics and Acoustic Wave Propagation

Physical Sciences → Engineering → Mechanics of Materials

Thermography and Photoacoustic Techniques

Physical Sciences → Engineering → Mechanics of Materials

Dual prototypical contrastive network: a novel self-supervised method for cross-domain few-shot fault diagnosis

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