Wuhan, China

Xiaohui Wei

This inventor holds 1 USPTO granted patent. Top assignees: Hubei Superenergic Electric Power Co., Ltd., State Grid Hubei Extra High Voltage Company. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Xiaohui Wei. Retrieved from https://idiyas.com/inventor/xiaohui-wei-0a5cufss

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Xiaohui Wei: Inventor Applying Image Recognition to Insulator Fault Detection.

Introduction

Xiaohui Wei is an inventor associated with Wuhan, China. His work includes a patent for detecting insulator discharge faults using image recognition and neural-network technology. The available information lists 1 patent.

Latest Patents

Wei’s patent, “Detection Method and Detection Device for Detecting Fault of Insulator Discharge Based on Image Recognition,” describes a method that uses ultraviolet images of electrical equipment to identify insulator discharge faults.

The method builds an ultraviolet image dataset and uses it to train a neural-network model based on YOLOV5-T. The model includes CBS, CST, Concat, 1D-attention, Upsample, and Detect modules. After training, images are supplied to the model to produce fault-detection results. The patent also describes a device configured to carry out the method.

Career Highlights

The provided career information associates Wei with State Grid Hubei Extra High Voltage Company and Hubei Superenergic Electric Power Co., Ltd. His patented work focuses on applying image recognition and neural networks to electrical-equipment inspection.

Collaborations

Wei’s listed coworker is Shenli Wang, a woman. The available information does not specify further details about their collaboration.

Conclusion

Xiaohui Wei’s patent presents an image-recognition approach to detecting insulator discharge faults, connecting neural-network methods with electrical-equipment inspection.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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