MetaRes-DMT-AS: A Meta-Learning Approach for Few-Shot Fault Diagnosis in Elevator Systems

MetaRes-DMT-AS: A Meta-Learning Approach for Few-Shot Fault Diagnosis in Elevator Systems

Recent advancements in deep learning have spurred significant research interest in fault diagnosis for elevator systems. However, conventional approaches typically require substantial labeled datasets that are often impractical to obtain in real-world industrial environments. This limitation poses a...

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Bibliographic Details
Main Authors:	Hongming Hu, Shengying Yang, Yulai Zhang, Jianfeng Wu, Liang He, Jingsheng Lei
Format:	Article
Language:	English
Published:	MDPI AG 2025-07-01
Series:	Sensors
Subjects:	fault diagnosis meta-learning Prototypical Networks Gram Angle Field
Online Access:	https://www.mdpi.com/1424-8220/25/15/4611
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