The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 25, 2026

Filed:

Jul. 09, 2024
Applicants:

State Grid Hubei Extra High Voltage Company, Wuhan, CN;

Hubei Superenergic Electric Power Co., Ltd., Wuhan, CN;

Inventors:

Jun Wu, Wuhan, CN;

Shenli Wang, Wuhan, CN;

Xiangdong Wu, Wuhan, CN;

Xiangkui He, Wuhan, CN;

Quan Fang, Wuhan, CN;

Huaqiao Xiang, Wuhan, CN;

Xun Zhang, Wuhan, CN;

Xiaohui Wei, Wuhan, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 20/50 (2022.01); G06V 10/77 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G06V 10/80 (2022.01);
U.S. Cl.
CPC ...
G06V 20/50 (2022.01); G06V 10/7715 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G06V 10/806 (2022.01);
Abstract

A detection method for detecting fault of insulator discharge based on image recognition includes the following steps: building an ultraviolet image dataset for an electrical equipment, building a neural network model for insulator discharge detection based on YOLOV5-T, the neural network model includes a CBS module, a CST module, a Concat module, a 1D-attention module, an Upsample module and a Detect module, training the neural network model by utilizing the ultraviolet image dataset for the electrical equipment, to obtain a trained neural network model, and inputting images to be recognized into the trained neural network model, to obtain fault detection results. A detection device is configured to implement the detection method.


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