Fault Diagnosis of DAB Converters Based on ResNet With Adaptive Threshold Denoising
Author:
Affiliation:
1. College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China
2. College of Electrical Engineering, Qingdao University, Qingdao, China
Funder
Shandong Provincial Natural Science Foundation
Fujian Provincial Natural Science Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/19/9717300/09798792.pdf?arnumber=9798792
Reference31 articles.
1. Fault Diagnosis for Power Converters Based on Optimized Temporal Convolutional Network
2. ResNeSt: Split-attention networks;zhang;arXiv 2004 08955,2020
3. Single-Switch Open-Circuit Diagnosis Method Based on Average Voltage Vector for Three-Level T-Type Inverter
4. Semi‐conductors faults analysis in dual active bridge DC–DC converter
5. Open-Circuit Fault Diagnosis and Fault-Tolerant Strategies for Full-Bridge DC–DC Converters
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