Research on Substation Equipment Rust Detection Method Based on Improved SSD-Reference-Cited by-同舟云学术

Research on Substation Equipment Rust Detection Method Based on Improved SSD

Published:2021-10-15 Issue: Volume: Page:
ISSN:
Container-title:2021 International Conference on Advanced Electrical Equipment and Reliable Operation (AEERO)
language:
Short-container-title:

Author:

Dai Yan¹,Han Rui¹,Liu Li¹,Jiang Xiongwei¹,Qian Shaofeng²,Hong Qiancheng³,Gao Si³

Affiliation:

1. Electric Power Research Institute State,Grid Zhejiang Electric Power Co.,LTD,Hangzhou,China

2. State Grid Zhejiang Electric Power Company Hangzhou Power Supply Company (hangzhou Electric,Hangzhou,China

3. Hangzhou Hikvision Digital Technology Co., Ltd.,Hangzhou,China

Funder

State Grid Corporation of China

Publisher

IEEE

Link

Reference12 articles.

1. Research on transmission line rust detection method based on deep learning;li;Electronic Measurement Technology,2018

2. Corrosion detection using AI: a comparison of standard computer vision techniques and deep learning model;petricca;Proceedings of the Sixth International Conference on Computer Science Engineering and Information Technology,2016

4. Faster r-cnn: Towards real-time object detection with region proposal networks;ren;arXiv preprint arXiv 1506 01070,2015

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献