Research on intelligent recognition method for self‐blast state of glass insulator based on mixed data augmentation-Reference-Cited by-同舟云学术

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Research on intelligent recognition method for self‐blast state of glass insulator based on mixed data augmentation

Published:2022-12-29 Issue: Volume: Page:
ISSN:2397-7264
Container-title:High Voltage
language:en
Short-container-title:High Voltage

Author:

Peng Siyao¹^ORCID,Ding Lijian¹^ORCID,Li Weitao¹^ORCID,Sun Wei¹^ORCID,Li Qiyue¹

Affiliation:

1. Hefei University of Technology Hefei China

Funder

Higher Education Discipline Innovation Project

Natural Science Foundation of Anhui Province

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/hve2.12296

Reference43 articles.

1. Risk assessment of dynamic system cascading collapse for determining the sensitive transmission lines and severity of total loading conditions

2. Holographic metal-insulator transition in higher derivative gravity

3. A magnetic heterostructure of topological insulators as a candidate for an axion insulator

4. External insulation characteristics and anti‐ice umbrella application of HV composite post insulators;Liu Q.;High Volt. Eng.,2020

5. Dominant factors affecting flashover by the presence of surface charge under AC voltage;Li D.Y.;High Volt. Eng.,2021

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