Johns Creek, GA, United States of America

Renfu Li

This inventor holds 2 USPTO granted patents. Top assignee: Georgia Tech Research Corporation. Active years: 2012.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Renfu Li. Retrieved from https://idiyas.com/inventor/renfu-li

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

Calculating rank

Average Co-Inventor Count = 4.0

ph-index = 2

Forward Citations = 12(Granted Patents)


Company Filing History:


Years Active: 2012

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2 patents (USPTO):Explore Patents

Title: Renfu Li: Innovator in Weld Defect Detection

Introduction

Renfu Li is a prominent inventor based in Johns Creek, GA (US). He has made significant contributions to the field of weld defect detection through his innovative methods and systems. With a total of 2 patents, his work focuses on enhancing the accuracy and efficiency of identifying defects in welded structures.

Latest Patents

Renfu Li's latest patents include "Methods and systems for detecting defects in welded structures utilizing pattern matching." This method processes ultrasonic response signals collected from various measurement locations along a weld to determine the presence of defects. The process involves filtering ultrasonic response signals to produce filtered response signals, calculating ultrasonic energy for each measurement location, and comparing these energies to identify potential defect locations. If the ultrasonic energy at a measurement location is less than that of adjacent locations, it indicates a potential defect. The presence of a defect is confirmed by analyzing fluctuations in ultrasonic energy at neighboring locations.

Another notable patent is "Methods and systems for classifying the type and severity of defects in welds." This method determines the type of defect by analyzing ultrasonic response signals from measurement locations along the weld. A trained artificial neural network processes the defect signal and proximity signals to identify the defect type and classify its severity. This innovative approach enhances the reliability of weld inspections.

Career Highlights

Renfu Li is associated with the Georgia Tech Research Corporation, where he applies his expertise in ultrasonic testing and artificial intelligence to advance the field of weld inspection. His work has garnered attention for its potential to improve safety and quality in various industries reliant on welding.

Collaborations

Renfu Li collaborates with talented individuals such as Matthew Rogge and Ifeanyi Charles Ume. Their combined efforts contribute to the development of cutting-edge technologies in weld defect detection.

Conclusion

Renfu Li's innovative contributions to weld defect detection through his patented methods demonstrate his commitment to enhancing industrial safety and quality. His work continues to influence the field and pave the way for future advancements.

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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