Wuhan, China

Shenli Wang

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: Shenli Wang. Retrieved from https://idiyas.com/inventor/shenli-wang-3mku9izz

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

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Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Shenli Wang and Image-Based Insulator Discharge Detection.

Introduction

Shenli Wang is an inventor based in Wuhan, China. His patent work includes an image-recognition approach for detecting discharge faults in electrical insulators.

Latest Patents

Wang is associated with 1 patent: “Detection Method and Detection Device for Detecting Fault of Insulator Discharge Based on Image Recognition.” The method builds an ultraviolet image dataset for electrical equipment and uses it to train a neural network based on YOLOV5-T. The model includes CBS, CST, Concat, 1D-attention, Upsample, and Detect modules. Once trained, it processes images to produce fault-detection results. The associated detection device is configured to implement the method.

Career Highlights

Wang’s listed professional affiliations include State Grid Hubei Extra High Voltage Company and Hubei Superenergic Electric Power Co., Ltd. His patent focuses on applying image recognition and neural networks to electrical-equipment inspection.

Collaborations

Wang’s listed coworker is Xiangdong Wu.

Conclusion

Shenli Wang’s patent describes a neural-network-based system for identifying insulator discharge faults from ultraviolet images, supporting automated inspection of electrical equipment.

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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