Harbin, China

Xu Zhan

This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignee: Harbin Engineering University. Active years: 2025.

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

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 8.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Xu Zhan - Innovator in Aerodynamic Noise Acquisition

Introduction

Xu Zhan is a prominent inventor based in Harbin, China. He has made significant contributions to the field of aerodynamic noise acquisition. His innovative approach addresses the limitations of traditional numerical calculations in this area.

Latest Patents

Xu Zhan holds a patent for a "Method and apparatus for acquiring aerodynamic noise of compressor, medium, and product." This invention provides a method that includes performing an inverse Fourier transform on a known frequency-domain noise spectrum to obtain known time-domain noise data. It predicts unknown time-domain noise using a time series neural network, allowing for the acquisition of finer time-frequency noise data. This method overcomes the limitations of traditional approaches, enabling rapid and accurate acquisition of aerodynamic noise data while reducing the consumption of computing resources.

Career Highlights

Xu Zhan is affiliated with Harbin Engineering University, where he continues to advance research in his field. His work has garnered attention for its practical applications in improving noise acquisition techniques.

Collaborations

Xu Zhan has collaborated with notable colleagues, including Chen Liu and Zexi Wu. Their combined expertise contributes to the advancement of research in aerodynamic noise.

Conclusion

Xu Zhan's innovative methods in aerodynamic noise acquisition represent a significant advancement in the field. His contributions not only enhance the accuracy of noise data but also optimize resource usage in research and development.

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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