Intelligent Substation Equipment Condition Detection Method Based on Infrared Thermal Imaging Technology and Temperature Probability Density-Reference-Cited by-同舟云学术

Intelligent Substation Equipment Condition Detection Method Based on Infrared Thermal Imaging Technology and Temperature Probability Density

Published:2022-12-23 Issue: Volume: Page:
ISSN:
Container-title:2022 12th International Conference on Power and Energy Systems (ICPES)
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Author:

Yang Lin¹,Yu Changle¹,Li Wenwen¹,Zhang Su¹,Jiang Zhanpeng¹,Xiao Ao¹

Affiliation:

1. Skill Training Center of State Grid Liaoning Electric Power Co., Ltd,Jinzhou,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10072014/10072300/10072691.pdf?arnumber=10072691

Reference5 articles.

1. Research on fault location of secondary equipment in intelligent substation based on deep learning;ren;Power Grid Technology,2021

2. Fault Diagnosis of Intelligent Substation Based on HHT-CNN in the Context of Power Internet of Things;zhang;Journal of Anhui University (natural Science Edition),2022

3. Intelligent substation equipment state detection method based on intelligent perception and deep learning;li;Journal of Electrical Engineering,2022

4. Thermal state diagnosis of substation equipment based on infrared detection;zhang;Smart Power,2021

5. Development of intelligent substation bay level cluster measurement and control device using virtualization technology;wang;Power System Automation,2019

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1. ISE-YOLO: A Real-Time Infrared Detection Model for Substation Equipment;IEEE Transactions on Power Delivery;2024-08

2. Research on Visual Localization Method for Substation Live Working Robot Based on Deep Learning;Proceedings of the 2023 5th International Conference on Internet of Things, Automation and Artificial Intelligence;2023-11-24