This inventor holds 1 USPTO granted patent. Top assignee: National Yang Ming Chiao Tung University. Active years: 2006.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2006
Title: Fu-Cheng Su: Innovator in Rotor Machine Diagnostics
Introduction
Fu-Cheng Su is a distinguished inventor based in Yunlin, Taiwan. He has made significant contributions to the field of rotor machine diagnostics through his innovative patent. His work focuses on enhancing the accuracy and efficiency of diagnostic systems for rotor machinery.
Latest Patents
Fu-Cheng Su holds a patent for a "High-resolution intelligent rotor machine diagnostic system and method." This invention relates to a smart system and method for performing high-resolution frequency order analysis and diagnosis on rotors. The system is characterized by its ability to conduct order analysis using a Kalman filter or a Recursive Least Square (RLS) algorithm while determining failure status based on Fuzzy theory. The smart system comprises various components, including data acquisition means, bench data setup means, STFT time-spectra analysis/re-sampled order tracking means, Kalman filter or RLS algorithmic means, fuzzy diagnosis means, and a user-friendly window interface. This innovative approach allows for real-time diagnosis of rotor conditions.
Career Highlights
Fu-Cheng Su is affiliated with National Yang Ming Chiao Tung University, where he continues to advance research in rotor diagnostics. His academic and professional journey reflects a commitment to innovation and excellence in engineering.
Collaborations
Fu-Cheng Su has collaborated with notable colleagues, including Ming-Hung Hung and Ming-Sian Bai. These partnerships have contributed to the development and refinement of his diagnostic systems.
Conclusion
Fu-Cheng Su's contributions to rotor machine diagnostics exemplify the impact of innovative thinking in engineering. His patent showcases a blend of advanced algorithms and practical applications, paving the way for improved diagnostic capabilities in rotor machinery.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile