Federated Few-Shot Learning-Based Machinery Fault Diagnosis in the Industrial Internet of Things

Federated Few-Shot Learning-Based Machinery Fault Diagnosis in the Industrial Internet of Things

Deep learning has undergone significant progress for machinery fault diagnosis in the Industrial Internet of Things; however, it requires a substantial amount of labeled data. The lack of sufficient fault samples in practical applications remains a challenge. One feasible approach is to leverage pri...

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Bibliographic Details
Main Authors: Yingying Liang, Peng Zhao, Yimeng Wang
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Applied Sciences
Subjects:
fault diagnosis
few-shot learning
federated learning
deep learning
metric learning
Online Access:https://www.mdpi.com/2076-3417/13/18/10458

Internet

https://www.mdpi.com/2076-3417/13/18/10458

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