Fault Assessment of Circuit Breakers Based on Wide-Area Generalization Information and Improved ACGAN-Reference-Cited by-同舟云学术

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Fault Assessment of Circuit Breakers Based on Wide-Area Generalization Information and Improved ACGAN

Published:2023-10-15 Issue:20 Volume:23 Page:24954-24969
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Sun Shuguang¹^ORCID,Yang Feilong¹^ORCID,Wang Jingqin²^ORCID,Li Ruijie¹,Wang Zewei¹^ORCID

Affiliation:

1. School of Artificial Intelligence, Hebei University of Technology, Tianjin, China

2. Provincial and Ministerial Co-construction Collaborative Innovation Center on Reliability Technology of Electrical Products and the State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin, China

Funder

Natural Science Foundation of Hebei Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/10286142/10247239.pdf?arnumber=10247239

Reference41 articles.

1. Fault degree evaluation of circuit breaker based on continuous wavelet transform and MTL-SEResNet;sun;Chin J Sci Instrum,2022

2. Modeling EEG Data Distribution With a Wasserstein Generative Adversarial Network to Predict RSVP Events

3. Fault Diagnosis of DAB Converters Based on ResNet With Adaptive Threshold Denoising

4. Conditional image synthesis with auxiliary classifier GANs;odena;Proc 34th Int Conf Mach Learn (ICML),2017

5. A Bearing Fault Diagnosis Method Based on Improved Mutual Dimensionless and Deep Learning

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