A novel zero-shot learning approach for cross-domain fault diagnosis in high-voltage circuit breakers-Reference-Cited by-同舟云学术

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A novel zero-shot learning approach for cross-domain fault diagnosis in high-voltage circuit breakers

Published:2024-10 Issue: Volume:62 Page:102777
ISSN:1474-0346
Container-title:Advanced Engineering Informatics
language:en
Short-container-title:Advanced Engineering Informatics

Author:

Yang Qiuyu,Zhai Zhenlin,Lin Yuyi,Liao Yuxiang,Xie Jingyi,Xue Xue,Ruan Jiangjun

Funder

Fujian Provincial Natural Science Foundation

National Aerospace Science Foundation of China

Science and Technology Projects of Fujian Province

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference34 articles.

1. High-voltage circuit breaker intelligent diagnosis technology for mechanical faults under power internet of things context;Yan,2020

2. Condition monitoring of high voltage circuit breakers: past to future;Razi-Kazemi;IEEE Trans. Power Delivery,2021

3. Fault analysis of high-voltage circuit breakers based on coil current and contact travel waveforms through modified SVM classifier;Rudsari;IEEE Trans. Power Delivery,2019

4. Fault diagnosis model of adaptive miniature circuit breaker based on fractal theory and probabilistic neural network;Yao;Mech. Syst. Sig. Process.,2020

5. Fault diagnosis for circuit-breakers using adaptive chirp mode decomposition and attractor’s morphological characteristics;Yang;Mech. Syst. Sig. Process.,2020

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