This inventor holds 1 USPTO granted patent. Top assignee: Foshan University. Active years: 2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2023
Title: Innovations of Henghui Liang in Fault Diagnosis Systems
Introduction
Henghui Liang is a notable inventor based in Zhaoqing, China. He has made significant contributions to the field of fault diagnosis systems, particularly in the context of permanent magnet synchronous motors. His innovative approach combines various mathematical models to enhance the accuracy of fault detection.
Latest Patents
Henghui Liang holds a patent for a "Complicated system fault diagnosis method and system based on multi-stage model." This patent outlines a method that includes establishing an integer-order mathematical model, a 0.1-level fractional order mathematical model, and a 0.01-level fractional order mathematical model of a permanent magnet synchronous motor system. The method also involves designing status observers based on these mathematical models. The observers can obtain corresponding residual values, which are then compared with threshold values to determine the presence of faults. This system is primarily utilized in motor diagnosis, showcasing Liang's expertise in the field.
Career Highlights
Henghui Liang is affiliated with Foshan University, where he continues to advance his research and development in fault diagnosis technologies. His work has garnered attention for its practical applications in improving motor system reliability and performance.
Collaborations
Henghui Liang has collaborated with notable colleagues such as Wei Yu and Zhipeng Wang. Their combined efforts contribute to the ongoing research and innovation in the field of fault diagnosis systems.
Conclusion
Henghui Liang's contributions to the field of fault diagnosis through his innovative patent demonstrate his commitment to advancing technology in motor systems. His work not only enhances the understanding of complex systems but also provides practical solutions for real-world applications.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile