This inventor holds 1 USPTO granted patent. Top assignee: Guangdong Ocean University. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Qiang Liu - Innovator in Rolling Bearing Fault Diagnosis
Introduction
Qiang Liu is a prominent inventor based in Zhanjiang, China. He has made significant contributions to the field of engineering, particularly in the area of rolling bearing fault diagnosis. His innovative approach combines various techniques to enhance the accuracy and efficiency of fault detection in rolling bearings.
Latest Patents
Qiang Liu holds a patent for a "Rolling bearing combined fault diagnosis method based on multi-domain feature construction." This method involves collecting vibration signals from rolling bearings and extracting both time-domain and frequency-domain features. The process includes performing an improved empirical mode decomposition on the vibration signals to obtain time-frequency features. By constructing a multi-domain fault sample set and conducting a fault mechanism analysis, Liu's method effectively identifies modulation features associated with different faults. The final step involves using an unsupervised hierarchical clustering approach and a KNN model for classification, leading to accurate fault diagnosis results.
Career Highlights
Qiang Liu is affiliated with Guangdong Ocean University, where he applies his expertise in engineering and innovation. His work has garnered attention for its practical applications in improving the reliability of mechanical systems.
Collaborations
Qiang Liu has collaborated with notable colleagues, including Guoyan Yu and Jiawei Zhang. Their combined efforts contribute to advancing research and development in the field of fault diagnosis.
Conclusion
Qiang Liu's innovative methods in rolling bearing fault diagnosis demonstrate his commitment to enhancing engineering practices. His contributions are vital for improving the reliability and performance of mechanical systems.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile