Aug 28, 2023 � A transformer and metric meta-learning (TML) model is proposed for few-shot on-site HVCB diagnosis. First, we propose a hybrid module of a transformer–�...

To resolve this issue, a transformer and metric meta-learning (TML) model is proposed for few-shot on-site HVCB diagnosis. First, we propose a hybrid module of�...

To resolve this issue, a transformer and metric meta-learning (TML) model is proposed for few- shot on-site HVCB diagnosis. First, we propose a hybrid module of�...

Aug 26, 2024 � Few-shot mechanical fault diagnosis for a high-voltage circuit breaker via a transformer-convolutional neural network and metric meta- learning.

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Aug 31, 2024 � We propose a novel cross-domain zero-shot learning (CDZSL) approach specifically designed for HVCB fault diagnosis.

Mar 6, 2024 � Few-Shot Mechanical Fault Diagnosis for a High-Voltage Circuit Breaker via a Transformer–Convolutional Neural Network and Metric Meta-Learning.

Sep 5, 2024 � Few-Shot Mechanical Fault Diagnosis for a High-Voltage Circuit Breaker via a Transformer–Convolutional Neural Network and Metric Meta-Learning.

A few-shot method based on Gaussian Prototype Network (GPN) is proposed to achieve an effective and accurate diagnosis of power transformers using even a small�...

This article proposes a novel hybrid transfer learning to realize small-sample HVCB fault diagnosis on-site and constructs a one-dimensional attention�...