Chengdu, China

Zhaoyuan Xu

This inventor holds 1 USPTO granted patent. Top assignee: Sichuan University. Active years: 2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Zhaoyuan Xu. Retrieved from https://idiyas.com/inventor/zhaoyuan-xu

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


% Patents Active = 100.0

Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Zhaoyuan Xu: Innovator in Equipment Diagnosis and Prediction

Introduction

Zhaoyuan Xu is a prominent inventor based in Chengdu, China. He has made significant contributions to the field of equipment diagnostics and predictive maintenance. His innovative approach focuses on enhancing the operational efficiency of large-scale equipment through advanced methodologies.

Latest Patents

Zhaoyuan Xu holds a patent titled "Method for diagnosing and predicting operation conditions of large-scale equipment based on feature fusion and conversion." This patent outlines a comprehensive method that includes collecting vibration signals from various operating conditions of the equipment. It involves establishing an original vibration acceleration data set, performing noise reduction, and calculating both time domain and frequency domain parameters. The process culminates in the establishment of a GBDT model, which is utilized to predict operational conditions effectively.

Career Highlights

Zhaoyuan Xu is affiliated with Sichuan University, where he contributes to research and development in his field. His work emphasizes the importance of predictive maintenance and the application of data-driven techniques to improve equipment reliability.

Collaborations

Zhaoyuan Xu collaborates with notable colleagues, including Jianbo Wu and Ziheng Huang. Their combined expertise fosters innovation and enhances the research output at Sichuan University.

Conclusion

Zhaoyuan Xu's contributions to the field of equipment diagnostics and predictive maintenance are noteworthy. His innovative methods and collaborative efforts continue to advance the understanding and efficiency of large-scale equipment operations.

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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