Prediction Method for Internal Overheating Defects of GIS Isolation Switch Based on Multi-Parameter Correlation and Deep Learning Network-Reference-Cited by-同舟云学术

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Prediction Method for Internal Overheating Defects of GIS Isolation Switch Based on Multi-Parameter Correlation and Deep Learning Network

Published:2023-10-13 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 15th International Conference on Advanced Infocomm Technology (ICAIT)
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Author:

Xu Peng¹,Zhou Guliang²,Niu Zhiya¹,Lu Zhihao²,Hu Zhengyong¹,Sha Zheng³,Dou Huiling³

Affiliation:

1. State Grid Shanghai Electric Power Research Institute,Equipment Department,Shanghai,China

2. State Grid Shanghai Electric Power Company,Equipment Department,Shanghai,China

3. PDStars Electric Co.,Ltd.,Research and Development Center,Shanghai,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10367211/10367195/10367394.pdf?arnumber=10367394

Reference14 articles.

1. Fault analysis of GIS based on fault tree theory;Yangliu;High Voltage Apparatus,2015

2. Gaseous Insulation for High-Voltage Transformers [includes discussion]

3. Scale Modeling on the Overheat Failure of Bus Contacts in Gas-Insulated Switchgears

4. Temperature rise characteristics simulation of 40.5kV high current cubicle type Gas Insulated Switchgear

5. Deep Learning Based Infrared Image Recognize and Internal Overheating Fault Diagnosis of Gas Insulated Switchgear

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