Hangzhou, China

Tian Xiang


Average Co-Inventor Count = 6.5

ph-index = 1


Company Filing History:


Years Active: 2025

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2 patents (USPTO):Explore Patents

Title: Innovations of Tian Xiang in Gear Fault Diagnosis

Introduction

Tian Xiang is a notable inventor based in Hangzhou, China, recognized for his contributions to the field of machinery diagnostics. He holds two patents that showcase his innovative approaches to diagnosing mechanical faults, particularly in rotating machinery.

Latest Patents

One of his latest patents is a "Gear fault diagnosis method based on joint weighted envelope noise-resistant correlation of sub-signals." This method involves converting an original vibration signal sequence into an envelope signal through a series of computational processes. It reconstructs the envelope signal according to different time intervals to obtain sub-signals, calculates a fault information representation measure for each sub-signal, and determines a characteristic frequency to identify gear faults effectively.

Another significant patent is the "Method for diagnosing rotor rub-impact in rotating machinery based on vibration signal deconstruction and frequency modulation characteristic anti-noise enhancement." This method converts vibratory acceleration signals into vibratory displacement signals and performs targeted extraction on rotating frequency components. It enhances anti-noise characteristics and processes the instantaneous frequency to diagnose rotor rub-impact faults in rotating machinery.

Career Highlights

Tian Xiang has worked with prestigious institutions such as Zhejiang University and Zhejiang Lab. His work in these organizations has allowed him to develop and refine his innovative diagnostic methods, contributing significantly to the field of mechanical engineering.

Collaborations

He has collaborated with notable colleagues, including Dazhuan Wu and Yaochun Hou, who have contributed to his research and development efforts.

Conclusion

Tian Xiang's innovative patents and career achievements highlight his significant contributions to machinery diagnostics. His work continues to influence the field and improve the reliability of mechanical systems.

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