Power equipment defect detection method based on CenterNet

Author:

Zheng Peihao,Tao Jun,Yu Jiangbin,Xue Meng,Liu Jian,Liu Xiaofei

Publisher

SPIE

Reference7 articles.

1. Research on transmission line insulator defects detection using YOLOv7;Panigrahy,2022

2. A Fiber-Optic Multisensor System for Predischarges Detection on Electrical Equipment

3. Reliable IoT paradigm with ensemble machine learning for faults diagnosis of power transformers considering adversarial attacks;Ali;IEEE Transactions on Instrumentation and Measurement,2023

4. Giant magneto-resistive (GMR) sensors for non-contacting partial discharge detection;Chen;IEEE Transactions on Instrumentation and Measurement,2023

5. Research on the application of deep learning object detection in rust defect detection of power equipment;Xu,2023

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