A new machine learning-basd fault diagnosis method of high voltage shunt reactor using spectral residual-Reference-Cited by-同舟云学术

A new machine learning-basd fault diagnosis method of high voltage shunt reactor using spectral residual

Published:2022-11 Issue: Volume: Page:
ISSN:
Container-title:2022 7th International Conference on Communication, Image and Signal Processing (CCISP)
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Author:

Zhang Zongxi¹,Fu Ming²,Mei Jie²,Zhu Ming²,Zhang Jing³,Xiao Li³

Affiliation:

1. Sichuan Province Electric Power Research Institute State Grid Sichuan Province Electric Power Company,Chengdu,China

2. School of Electronic Information and Communication Huazhong University of Science and Technology,Wuhan,China

3. Operation and Maintenance Center State Grid Electric Power Research Institute Wuhan NARI Group,Wuhan,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9973811/9974158/09974601.pdf?arnumber=9974601

Reference12 articles.

1. Data Augmentation Using DCGAN for Improved Fault Detection of High Voltage Shunt Reactor

2. Gas-Insulated Switchgear (GIS) Equipment Mechanical Fault Detection Based on Feature Learning of Vibration Signal Images

3. Infrared image saliency detection based on human vision and information theory

4. A Generic Intelligent Bearing Fault Diagnosis System Using Compact Adaptive 1D CNN Classifier

5. Chapter 32 Study on Flame Combustion Stability Based on Particle Swarm Optimization Feature-Weighted SVM;chen;Springer Science and Business Media LLC,2017

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