Generator Stator Partial Discharge Pattern Recognition Based on PRPD-Grabcut and DSC-GoogLeNet Deep Learning-Reference-Cited by-同舟云学术

Generator Stator Partial Discharge Pattern Recognition Based on PRPD-Grabcut and DSC-GoogLeNet Deep Learning

Published:2023-10 Issue:5 Volume:30 Page:2267-2276
ISSN:1070-9878
Container-title:IEEE Transactions on Dielectrics and Electrical Insulation
language:
Short-container-title:IEEE Trans. Dielect. Electr. Insul.

Author:

Chen Yuzhu¹^ORCID,Peng Xiaosheng¹^ORCID,Wang Hongyu¹,Zhou Jin²,Zhang Yue²,Liang Zhiming²

Affiliation:

1. Key Laboratory of Advanced Electromagnetic Engineering and Technology, Hubei Electric Power Security and High Efficiency Key Laboratory, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan, China

2. Dongfang Electric Machinery Company Ltd., Dongfang Electric Corporation, Deyang, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/94/10266905/10123049.pdf?arnumber=10123049

Reference25 articles.

1. GoogLeNet-Based Ensemble FCNet Classifier for Focal Liver Lesion Diagnosis

2. Corona Detection and Power Equipment Classification based on GoogleNet-AlexNet: An Accurate and Intelligent Defect Detection Model based on Deep Learning for Power Distribution Lines

3. Light-DehazeNet: A Novel Lightweight CNN Architecture for Single Image Dehazing

4. LEFE-Net: A Lightweight Efficient Feature Extraction Network With Strong Robustness for Bearing Fault Diagnosis

5. Knowledge-Driven Recognition Methodology of Partial Discharge Patterns in GIS

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